system

Abstract

We provide the system. [Solution] A means of inputting information to record health status, Information processing means for generating a motion plan based on input information, An information presentation means for providing exercise instruction using a video display means that provides a three-dimensional virtual environment, An information detection means that instantly analyzes the subject's movements and presents the results, A means of storing information related to exercise and optimizing the next exercise plan, A remote instruction method for providing exercise instruction using a home-use automated machine, A system that includes this.

Description

Technical Field

[0001] The technology of the present disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, due to a busy life, lack of exercise and lack of consistency in health management have become major problems. Also, appropriate exercise guidance according to individual health conditions and support for maintaining motivation are insufficient, making it difficult to form sustainable health habits. Furthermore, for users, exercise has become something that is not enjoyable, which is also part of the problem.

Means for Solving the Problems

[0005] This invention provides a system that includes an input device for recording health status, a virtual reality environment for providing exercise guidance based on a generated exercise plan, a detection device for analyzing and providing feedback on the user's movements in real time, and means for optimizing the next exercise plan based on accumulated exercise data. This system aims to realize an exercise experience tailored to each individual and support the formation of sustainable healthy habits.

[0006] "Health status" refers to the totality of information related to an individual user's physical, mental, and lifestyle.

[0007] An "input device" is a device or interface used by a user to provide their own data.

[0008] An "exercise plan" is a set of guidelines generated based on the user's health status, designed to help them achieve specific health goals.

[0009] A "processing device" is a computer system that analyzes input data and generates appropriate exercise or dietary guidance.

[0010] A "virtual reality environment" is a digitally generated space in which users can immerse themselves and exercise.

[0011] A "display device" is a device that provides a virtual reality environment to a user visually.

[0012] "Exercise instruction" refers to the process of providing movement instructions and feedback to the user.

[0013] A "detection device" is a sensor or equipment used to monitor and analyze a user's movements in real time.

[0014] A "data storage device" is a device or system that stores a user's exercise history and related information, making it available for use in planning future exercise sessions.

[0015] "Feedback" refers to the advice or correction instructions received by the user during exercise.

Brief Explanation of Drawings

[0016] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine.

Embodiments for Carrying Out the Invention

[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), etc.

[0020] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0021] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0022] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0024] [First Embodiment]

[0025] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0026] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0029] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0032] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0036] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0037] This invention provides an exercise support system in a virtual reality environment based on the individual needs of the user. First, the user provides information such as height, weight, age, and health using an input device on a terminal. This data is transmitted from the terminal to a server, where a processing unit analyzes it to generate an optimal exercise plan for the user.

[0038] Once an exercise plan is generated, the device begins providing specific exercise instructions to the user through a virtual reality environment. During this process, the device's built-in display shows the virtual environment to enhance the user's immersive exercise experience. Users can exercise safely and enjoyably through the VR device.

[0039] During exercise, the user's movements are monitored in real time by a detection device built into the terminal and transmitted to a server. This data is analyzed on the server, and effective feedback is provided to the user to maximize the effectiveness of the exercise. For example, if the arm movements are incorrect, the system will detect this and provide correct form as audio or visual feedback.

[0040] Once an exercise session ends, the device saves the exercise data to a data storage device, which is then used to plan the user's next exercise session. Based on the stored data, the server generates a more personalized plan and provides it to the user, supporting them in maintaining sustainable healthy habits.

[0041] For example, if a user wants to improve their muscle strength, the system will create a plan centered on strength training and advise on selecting appropriate weights and adjusting duration during exercise. If the primary goal is calorie burning, the system will create a plan that includes a significant amount of aerobic exercise and provide guidance on how to maintain an appropriate heart rate.

[0042] Thus, the system of the present invention provides comprehensive support for users to achieve their individual goals and enables them to develop healthy habits while having fun.

[0043] The following describes the processing flow.

[0044] Step 1:

[0045] Users input data about their personal health (e.g., height, weight, age, health status, etc.) through an input device built into the terminal. This initial data is used as basic information necessary for developing an exercise plan.

[0046] Step 2:

[0047] The device sends the entered health data to the server. The server receives the data and prepares to securely store it in its database.

[0048] Step 3:

[0049] The server analyzes the stored data and generates an exercise plan optimized for each individual user's needs. This plan takes into account the user's health goals and physical condition.

[0050] Step 4:

[0051] The server sends the generated exercise plan to the terminal. Based on this plan, the terminal begins providing exercise guidance to the user within the virtual reality environment.

[0052] Step 5:

[0053] The user begins exercising in a virtual reality environment provided through the device's display. During the exercise, the user's movements are recorded in real time by the device's detection device, and this data is transmitted to a server.

[0054] Step 6:

[0055] The server analyzes real-time motion data and generates feedback to help users exercise with proper form and train effectively. This feedback is sent to the device and provided to the user either verbally or visually.

[0056] Step 7:

[0057] After the exercise session ends, the device saves the recorded exercise data to a data storage device. The server then uses this data to optimize the user's next exercise plan.

[0058] Step 8:

[0059] The server then uses the accumulated data and user feedback to generate a more effective workout plan for the next session and sends it to the device for the next training session.

[0060] (Example 1)

[0061] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0062] There is a need to provide a system that offers exercise plans tailored to individual health conditions and fitness levels, allowing users to enjoy a continuous plan for safe and effective exercise. However, conventional technology has made it difficult to individually optimize the efficiency and effectiveness of exercise, and users have received limited feedback that is appropriate to their own health condition.

[0063] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0064] In this invention, the server includes an interface device means for acquiring physical information, a computing device means for generating an exercise plan using the acquired information, and a device means for automatically adjusting the personalized exercise plan using a generated AI model. This enables a safe and effective exercise experience in a virtual reality environment while providing an optimal exercise plan based on the user's individual health condition and exercise needs.

[0065] A "physical information acquisition interface device" is an input means for inputting and collecting personal data such as a user's height, weight, age, and health status.

[0066] A "computational device that generates an exercise plan using acquired information" is a processing device that creates an optimal exercise plan for the user based on collected physical information.

[0067] A "video device that constructs a virtual reality space and provides exercise instruction" is a display means that provides users with a virtual environment and visually displays exercise instruction according to a plan.

[0068] A "measuring device that monitors a user's movement in real time and provides feedback" is a device that tracks a user's movements using sensors and immediately provides advice and suggestions based on those movements.

[0069] A "data management device for saving exercise-related information and improving future exercise plans" is a database device that accumulates exercise history and performance data, and uses that information to create future exercise plans.

[0070] A "device that automatically adjusts personalized exercise plans using a generative AI model" is a device that utilizes AI technology to analyze user feedback and data and dynamically optimize exercise plans.

[0071] As an embodiment of the present invention, this system constructs an integrated environment combining multiple devices and processes to provide personalized exercise support to the user. The central element of the system is a computing unit that acquires the user's physical information and generates an optimal exercise plan based on that information. The user inputs data such as height, weight, age, and health status through a dedicated input interface. This information is transmitted to a server via a terminal, and the computing unit analyzes it using a generated AI model to generate an exercise plan that is suitable for the individual.

[0072] The server constructs a virtual reality environment on the terminal based on the generated exercise plan. This terminal uses a dedicated device (e.g., a GPU) for rendering 3D graphics, enabling the user to experience immersion through visual means. The user wears a VR device and can receive safe and effective exercise instruction within the virtual reality space.

[0073] During exercise, the user's movements are monitored in real time by the device's measuring equipment. For example, motion sensors and cameras are used to accurately detect movements. The server analyzes this data and provides immediate feedback if it detects a deviation from the planned movements. This feedback is presented to the user through audio and visual means.

[0074] After an exercise session ends, the device stores all exercise-related information in a data management system, making it available on the server for reuse to assist with future planning. This allows users to continuously receive more optimized exercise plans based on their exercise history.

[0075] As a concrete example, a possible input prompt for the generating AI model might be, "Design an optimal exercise plan in a virtual reality environment based on the user's height, weight, age, and health information." This allows the system to provide technical support to help each user achieve their individual goals and enables a sustainable program for maintaining health.

[0076] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0077] Step 1:

[0078] Users access the interface device through their terminal and input information such as height, weight, age, and health status. This information is formatted as digital data and sent to the server. An interactive UI is presented to the user to ensure accurate input.

[0079] Step 2:

[0080] The server processes the received physical information data and inputs it as a prompt to the generating AI model. Following the prompt, "Design an optimal exercise plan in a virtual reality environment based on the user's height, weight, age, and health information," the AI ​​model generates an optimal exercise plan. As output, an exercise plan tailored to each individual user is created.

[0081] Step 3:

[0082] The server sends the generated exercise plan to the terminal. The terminal constructs a virtual reality space based on the received exercise plan data. A dedicated GPU processes the graphics, and when the user wears a VR device, an immersive environment is created. In this environment, the planned exercises are visually displayed, and instruction is provided in real time.

[0083] Step 4:

[0084] The user begins exercising in a virtual reality environment. The device monitors the user's movements using motion sensors and cameras. During this time, real-time analysis is performed to maintain correct form, and immediate feedback is provided as needed. Sensor input of movement is processed and output as audio and visual feedback.

[0085] Step 5:

[0086] Once an exercise session ends, the device organizes the user's exercise data and resends it to the server. The server stores this data in a database and processes it to help generate the next exercise plan. During this process, users are provided with features such as graphs of their exercise performance and the ability to view their history. The AI ​​model then uses this data to create a more effective plan for the next session.

[0087] (Application Example 1)

[0088] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0089] There is a need for a system that allows individuals to easily implement personalized exercise plans and their effective implementation in a home environment, taking their individual health conditions into consideration. However, current technology makes it difficult to create an environment where users can safely and comfortably continue exercising while providing personalized exercise guidance and real-time feedback on effectiveness. To address this problem, there is a need to provide a more efficient and immersive fitness experience.

[0090] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0091] In this invention, the server includes an information input means for recording health status, an information processing means for generating an exercise plan based on the input information, an information presentation means for providing exercise guidance using a video display means that provides a three-dimensional virtual environment, an information detection means for instantly analyzing the subject's movements and presenting the results, an information storage means for accumulating information related to exercise and optimizing the next exercise plan, and a remote guidance means for providing exercise guidance using a home-use automated machine. This makes it possible to create and implement an exercise plan optimized for each individual, and to provide real-time feedback.

[0092] "Information input means for recording health status" refers to a device or function for inputting and recording information about a user's height, weight, age, and health.

[0093] "Information processing means for generating an exercise plan based on input information" refers to a processor or software that analyzes health information provided by the user and creates an exercise plan tailored to each individual.

[0094] "Information presentation means for providing exercise guidance using video display means that provide a three-dimensional virtual environment" refers to a display device or application that displays a virtual reality space and guides the user so that they can exercise within it.

[0095] "Information detection means that instantly analyzes the subject's movements and presents the results" refers to a device that uses sensors and cameras to detect the user's movements in real time, analyzes that data, and provides feedback to the user.

[0096] "Information storage means for accumulating exercise-related information and optimizing the next exercise plan" refers to databases or storage devices that store exercise history data and use it to inform the next exercise program.

[0097] "Remote instruction methods for providing exercise guidance using home-use automated machines" refers to systems that provide remote exercise guidance and adjustments through robots or devices usable in the home.

[0098] This invention relates to a system for providing exercise support based on a user's health status. The system mainly consists of a server, a terminal, and a user. The server receives health information provided by the user and generates an individualized exercise plan based on it. This process utilizes cloud computing services that leverage AI technology. Specific examples include Google® Cloud AI and Amazon SageMaker.

[0099] The terminal plays a crucial role in facilitating data communication between the user and the server. Health information is entered through user input, and this data is transmitted to the server. The terminal is required to connect to VR devices or home robots and display a virtual reality environment. In the displayed VR environment, the user receives exercise guidance and actually performs the exercises.

[0100] During exercise, the device uses cameras and motion sensors to detect the user's movements in real time. For example, IoT technologies such as Raspberry Pi and Arduino are used to instantly analyze the user's movements. The detected movement data is sent to a server, and feedback is provided based on the analysis results. This feedback is presented both audibly and visually.

[0101] Once an exercise session is complete, the device records exercise history data and sends it to a server. The server analyzes this data to further optimize the next exercise plan. This allows users to consistently engage in effective exercise.

[0102] For example, a server could provide voice feedback to a user doing push-ups, saying, "Keep your shoulders down and maintain correct form." An example of a prompt that could be used is, "Generate an effective home fitness plan based on the user's age, height, weight, and health information." In this way, users can receive a personalized exercise experience.

[0103] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0104] Step 1:

[0105] The user uses a device to enter personal data such as height, weight, age, and health information. The entered data is temporarily stored on the device. Next, this data is prepared to be sent to the server. The input in this step is the health information entered by the user, and the output is data formatted in a format to be sent to the server.

[0106] Step 2:

[0107] The server analyzes personal data received from the terminal and generates an optimal exercise plan for the user. Here, a generative AI model is used to output a personalized fitness plan based on specific prompt messages. The input is the user's health information sent from the terminal, and the output is an exercise plan tailored to the user. Cloud AI services are used for data analysis.

[0108] Step 3:

[0109] The terminal displays a three-dimensional virtual environment based on the exercise plan received from the server. The VR device provides the user with a more immersive exercise environment. The terminal presents the exercise plan with video and audio, and provides guidance to the user. The input is the exercise plan from the server, and the output is immersive exercise guidance through the VR device.

[0110] Step 4:

[0111] While the user is exercising, the device's built-in camera and sensors detect their movements in real time. The acquired movement data is sent to the cloud, where a server analyzes the user's form and movements. The input is the movement data obtained from the sensors, and the output is feedback based on the analysis results. For example, the system may determine whether the user is exercising with the correct posture.

[0112] Step 5:

[0113] The server receives the analysis results and provides feedback to the user during exercise. The feedback is provided both verbally and visually, for example, by saying, "Keep your shoulders down and maintain the correct form." The input is the analysis results in the cloud, and the output is the feedback to the user.

[0114] Step 6:

[0115] After the exercise is completed, the device stores all the data from the exercise and sends it to the server. The server then uses the stored exercise data to optimize the next exercise plan. The input is the historical data collected during the exercise, and the output is the data used for the next exercise plan. Through this process, exercise plans tailored to the user's needs are continuously proposed.

[0116] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0117] The system in this invention aims to provide an individually optimized exercise experience based on health and emotional states. First, the user inputs their health data using an input device on the terminal. Then, an emotion engine analyzes the user's emotional state in real time through facial expressions, voice, posture, etc. This data is a crucial element for providing exercise guidance tailored to the user's emotions.

[0118] The server first processes health data sent by the user and analyzes emotional data obtained by the emotion engine. Combining this information, it generates an optimal exercise plan for the user. Furthermore, it uses a virtual reality environment via a display device to provide appropriate guidance to the user, offering emotionally responsive feedback.

[0119] When exercising in a virtual reality environment, the device's detection system analyzes the user's movements in real time and provides feedback such as form corrections and encouragement as needed. This allows the user to exercise more effectively.

[0120] For example, if a user feels tired or stressed during exercise, the emotion engine detects this, and the server adjusts the exercise plan to suggest stretches and relaxation exercises. Furthermore, the visuals and music of the virtual reality environment are also adjusted to match the user's emotional state, providing a more comfortable exercise experience.

[0121] Once the exercise is complete, the device records exercise and emotional data in a data storage device, and the server uses this data to further optimize the next exercise plan. This process ensures that users always receive feedback and exercise plans tailored to their emotional state, providing support for achieving health goals while maintaining motivation.

[0122] The following describes the processing flow.

[0123] Step 1:

[0124] Users input their health data using the input device equipped on the terminal. This data includes the user's physical characteristics and health goals.

[0125] Step 2:

[0126] The device sends the entered health data to the server. The server analyzes the received data and prepares to generate an optimal exercise plan for the user.

[0127] Step 3:

[0128] The emotion engine built into the device analyzes the user's emotions in real time from their facial expressions, voice, and posture. In particular, it detects tension levels and stress levels during exercise.

[0129] Step 4:

[0130] The server comprehensively analyzes health and emotional data to generate an exercise plan that is optimally tailored to the user's condition on that day. Depending on the emotional state, the difficulty and type of exercise may also be changed.

[0131] Step 5:

[0132] The server sends the generated exercise plan and emotionally-driven instruction to the terminal. Based on this, the terminal begins providing exercise instruction to the user in a virtual reality environment.

[0133] Step 6:

[0134] The user performs exercises in a virtual reality environment through the device's display. During exercise, an emotion engine continuously monitors emotions, and the device provides visual and audio feedback based on the results.

[0135] Step 7:

[0136] The detection device analyzes the user's movements in real time and sends the data to a server. The server uses this data to generate real-time feedback on correcting movement form and suggesting the next action.

[0137] Step 8:

[0138] Once the exercise is complete, the device records all exercise and emotional data to a data storage device. The server uses this data to further optimize the next exercise plan and prepares to support the user's ongoing health management.

[0139] (Example 2)

[0140] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0141] In modern society, there is a need to efficiently provide personalized exercise plans tailored to each individual's health and emotional state. However, conventional systems have struggled to provide an exercise experience that fully takes into account the user's real-time emotions and exercise status, resulting in the challenge of users having difficulty maintaining their motivation to exercise.

[0142] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0143] In this invention, the server includes an input device means for analyzing health and emotional states, a processing device means for generating an optimized exercise plan based on the analyzed data, and a display device means for providing a virtual reality environment and providing feedback according to the emotional state. This makes it possible to provide a personalized exercise plan and feedback based on the user's health and emotional state.

[0144] "Health status" refers to data that indicates the user's physical condition, including information such as height, weight, age, heart rate, and past exercise history.

[0145] "Emotional state" refers to data that indicates the user's mental state, and is information obtained by analyzing facial expressions, tone of voice, posture, etc.

[0146] An "input device" is a device used to input data about a user's health and emotional state, and includes keyboards, touchscreens, cameras, and microphones.

[0147] A "processing device" is a computer system that processes data based on inputted health and emotional states to generate an optimal exercise plan.

[0148] A "display device" is a device that provides the user with a visual representation of the generated motion plan and feedback, and includes displays and virtual reality headsets.

[0149] A "virtual reality environment" is a computer-generated simulation environment that users can experience in an immersive way.

[0150] A "detection device" is a device that includes sensors and cameras to analyze the user's movements in real time and assist in correcting form and movements during exercise.

[0151] "Feedback" refers to the guidance and corrective advice provided to the user during exercise, presented in audio or visual form.

[0152] A "data storage device" is a recording medium that stores the user's exercise data and emotional data, and uses this data to optimize the next exercise plan.

[0153] A "generative AI model" is an algorithm that uses artificial intelligence to automatically generate a movement plan from input data and adjust it as needed.

[0154] A "prompt statement" is a text-based input statement used to give instructions to a generative AI model, and it includes commands to control the model's behavior.

[0155] In this invention, the user first uses an input device installed in the terminal to input data about their health status. This data includes information such as height, weight, age, heart rate, and past exercise history. The terminal processes this information and sends it to the server.

[0156] Next, the user's facial expressions, voice, and posture are analyzed in real time through the device's emotion engine, and their emotional state is determined. The emotion engine uses specific software such as TENSORFLOW® and OpenCV to analyze the user's emotional data. This allows the system to understand the user's emotional state and use this information to optimize the exercise plan.

[0157] The server receives health and emotional state data sent from the terminal and uses a generative AI model to generate an exercise plan optimized for the user. The generative AI model uses the prompt "Suggest an exercise menu based on the user's health and emotional state" to create a more personalized exercise program.

[0158] The server then uses a virtual reality environment to provide the user with the generated exercise plan. This environment utilizes a virtual reality headset as a display device, and the scene and music are adjusted according to the user's emotions. For example, if the user is feeling stressed, an exercise scene in a quiet forest is selected, and relaxation is promoted to facilitate the exercise.

[0159] During exercise, the device's detection system analyzes the user's movements in real time and provides feedback such as form corrections and encouragement as needed. For example, voice feedback such as "Lift your left leg a little higher" is given to help improve the user's exercise performance.

[0160] Once the exercise is complete, the device records exercise data and emotional data in a data storage device. The server then uses this data to further optimize the next exercise plan, ensuring that the user always receives the best possible exercise experience.

[0161] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0162] Step 1:

[0163] Users input their health data using the terminal's input device. This input device uses a keyboard or touchscreen to collect information such as height, weight, age, heart rate, and past exercise history. This data is stored in the terminal and prepared to be sent to the server. The entered health data is used as basic data to generate an exercise plan.

[0164] Step 2:

[0165] The device uses its built-in camera and microphone to capture the user's facial expressions, voice, and posture. The emotion engine analyzes this captured data to determine the user's emotional state in real time. Specifically, it determines states such as "relaxed" or "stressed" based on the user's smile, voice tone, etc. The analyzed emotional data is sent to a server and used as a factor influencing the exercise plan.

[0166] Step 3:

[0167] The device sends the collected health and emotional data to the server. The server receives this data and stores it in a database. At this time, it verifies the reliability of the communication and logs that the data transfer was performed correctly. The input health and emotional data is then ready to be analyzed by a generative AI model.

[0168] Step 4:

[0169] The server uses an AI model based on the received data to generate an exercise plan optimized for the user. This process uses the prompt "Suggest an exercise menu based on the user's health condition and emotions." The generated exercise plan is tailored to the user's individual health condition and emotions, aiming to maximize the user's exercise efficiency.

[0170] Step 5:

[0171] The server sets up a virtual reality environment to provide the user with the generated exercise plan. A virtual reality headset is used as the display device, and the generated exercise plan is visually presented to the user. The visuals and music of the environment are also adjusted according to the user's emotional state to enhance immersion.

[0172] Step 6:

[0173] The device's detection system analyzes the user's movements in real time. As the user exercises in the virtual reality environment, it checks their form and provides corrective instructions via voice feedback if necessary. For example, it might say, "Raise your right arm higher." This analysis result is then sent back to the server and used as data to help improve the user's exercise performance.

[0174] Step 7:

[0175] Once an exercise session ends, the device saves all exercise and emotional data to a data storage device. This data is used to optimize the next exercise plan. The server analyzes the stored data and prepares to adjust the exercise plan to provide the user with an even more suitable exercise experience in subsequent sessions.

[0176] (Application Example 2)

[0177] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0178] In modern society, maintaining personal health and emotional stability are highly valued, but providing appropriate exercise plans tailored to each user's unique health condition and emotional changes is a challenging problem. Especially when exercising at home, detailed exercise guidance and feedback adapted to the environment are required. To address this challenge, it is necessary to develop a new system that provides an optimal exercise experience tailored to individual needs.

[0179] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0180] In this invention, the server includes an input device means for recording health status, an analysis device means for analyzing emotional state and performing exercise adjustments according to emotion, and a display device that provides a virtual reality environment, and means for providing exercise guidance. This enables real-time exercise adjustment and feedback based on an individual's health status and emotional state.

[0181] A "health status recording input device" is a device that collects and records data related to the user's physical health.

[0182] A "processing device for generating exercise plans" is a device that designs the optimal exercise schedule and content for the user based on the input data.

[0183] A "display device that provides a virtual reality environment" is a device that provides users with visual exercise guidance through virtual reality.

[0184] A "detection device that analyzes user movements in real time and provides feedback" is a device that instantly analyzes the user's movements during exercise and provides timely feedback on areas for improvement and words of encouragement.

[0185] A "data storage device that accumulates exercise data and optimizes the next exercise plan" is a device that saves the results of an exercise performed once and uses that data to improve subsequent exercise plans.

[0186] An "analysis device that analyzes emotional states and adjusts movements accordingly" is a device that determines the user's emotions from their facial expressions and voice, and adjusts the movement based on that information.

[0187] A "display device that provides relaxation exercises and adjusted visual and auditory effects based on emotions during exercise" is a device that provides images and music tailored to the user's psychological state and suggests relaxing exercises as needed.

[0188] The system that realizes this invention provides an individually optimized exercise experience based on the user's health and emotional state. It primarily employs the following hardware and software configuration.

[0189] The device first collects health-related data from the user through an input device that records health status. This data forms the basis for the processing described below.

[0190] The server is equipped with an emotion analysis device to analyze and integrate this data with the user's emotional state. This device analyzes the user's emotions in real time from their facial expressions, voice, posture, etc., and generates an optimal exercise plan based on that information. In this process, a generative AI model is used for emotion analysis, and prompt messages are used to effectively analyze the data. For example, a prompt message in the format of "Analyze the user's current emotional state and suggest an appropriate exercise plan. If the user is tired, recommend relaxation exercises and play relaxing music" is used.

[0191] After an exercise plan is generated, a virtual reality environment is provided via a display device, within which the user begins exercising. The user's movements are analyzed in real time by a detection device, and immediate feedback is provided to correct form and boost motivation as needed. Furthermore, visual and auditory effects are modified based on the user's emotional state to create a comfortable and fulfilling exercise experience.

[0192] At the end of each workout, all exercise and emotional data is stored in a data storage device and used to optimize the next workout plan. This repeated process supports users in maintaining a healthy lifestyle.

[0193] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0194] Step 1:

[0195] The terminal collects health data from the user via an input device that records health status. Specifically, the user enters health data such as weight, height, and heart rate into an input form. The entered data is used for analysis in the next step. The input is the user's health information, and the output is the recorded health data.

[0196] Step 2:

[0197] The device uses a camera and microphone to capture the user's facial expressions and voice in real time, generating up-to-date emotion analysis data. The generative AI model used here is input in the form of a prompt message: "Analyze the user's emotional state and generate a corresponding motor plan." This analysis yields the user's emotional data. The input is the user's facial expressions and voice information, and the output is the analyzed emotional state.

[0198] Step 3:

[0199] The server integrates collected health data and analyzed emotional data, and a processing unit generates an optimal exercise plan. For example, if the emotion is determined to be "fatigue," relaxation elements will be incorporated into the exercise plan. A generative AI model is used for processing, which transforms the health data and emotional data through prompt messages. The output is an exercise plan optimized for the user.

[0200] Step 4:

[0201] The server presents this result to the user as a virtual reality environment via a display device, and the user begins exercising. Specifically, it utilizes 3D graphics and sound effects to create an environment in which the user can visually and aurally experience the exercise. The displayed content is optimized for the user's state. The output is the virtual reality environment presented to the user.

[0202] Step 5:

[0203] The device analyzes the user's movements during exercise in real time using a detection device and provides immediate feedback. For example, if there is an error in the movement, areas for improvement will be displayed on the screen, and instructions such as "Bend your knees a little more" will be given via voice. The input is the user's movement data, and the output is the feedback information provided.

[0204] Step 6:

[0205] Once the exercise is complete, the device records all exercise and emotional data to a data storage device. This recorded information is used to improve the accuracy of future exercise plans. The input is the data collected during the exercise, and the output is the stored data used to optimize the next plan.

[0206] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0207] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0208] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0209] [Second Embodiment]

[0210] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0211] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0212] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0213] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0214] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0215] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0216] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0217] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0218] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0219] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0220] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0221] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0222] This invention provides an exercise support system in a virtual reality environment based on the individual needs of the user. First, the user provides information such as height, weight, age, and health using an input device on a terminal. This data is transmitted from the terminal to a server, where a processing unit analyzes it to generate an optimal exercise plan for the user.

[0223] Once an exercise plan is generated, the device begins providing specific exercise instructions to the user through a virtual reality environment. During this process, the device's built-in display shows the virtual environment to enhance the user's immersive exercise experience. Users can exercise safely and enjoyably through the VR device.

[0224] During exercise, the user's movements are monitored in real time by a detection device built into the terminal and transmitted to a server. This data is analyzed on the server, and effective feedback is provided to the user to maximize the effectiveness of the exercise. For example, if the arm movements are incorrect, the system will detect this and provide correct form as audio or visual feedback.

[0225] Once an exercise session ends, the device saves the exercise data to a data storage device, which is then used to plan the user's next exercise session. Based on the stored data, the server generates a more personalized plan and provides it to the user, supporting them in maintaining sustainable healthy habits.

[0226] For example, if a user wants to improve their muscle strength, the system will create a plan centered on strength training and advise on selecting appropriate weights and adjusting duration during exercise. If the primary goal is calorie burning, the system will create a plan that includes a significant amount of aerobic exercise and provide guidance on how to maintain an appropriate heart rate.

[0227] Thus, the system of the present invention provides comprehensive support for users to achieve their individual goals and enables them to develop healthy habits while having fun.

[0228] The following describes the processing flow.

[0229] Step 1:

[0230] Users input data about their personal health (e.g., height, weight, age, health status, etc.) through an input device built into the terminal. This initial data is used as basic information necessary for developing an exercise plan.

[0231] Step 2:

[0232] The device sends the entered health data to the server. The server receives the data and prepares to securely store it in its database.

[0233] Step 3:

[0234] The server analyzes the stored data and generates an exercise plan optimized for each individual user's needs. This plan takes into account the user's health goals and physical condition.

[0235] Step 4:

[0236] The server sends the generated exercise plan to the terminal. Based on this plan, the terminal begins providing exercise guidance to the user within the virtual reality environment.

[0237] Step 5:

[0238] The user begins exercising in a virtual reality environment provided through the device's display. During the exercise, the user's movements are recorded in real time by the device's detection device, and this data is transmitted to a server.

[0239] Step 6:

[0240] The server analyzes real-time motion data and generates feedback to help users exercise with proper form and train effectively. This feedback is sent to the device and provided to the user either verbally or visually.

[0241] Step 7:

[0242] After the exercise session ends, the device saves the recorded exercise data to a data storage device. The server then uses this data to optimize the user's next exercise plan.

[0243] Step 8:

[0244] The server then uses the accumulated data and user feedback to generate a more effective workout plan for the next session and sends it to the device for the next training session.

[0245] (Example 1)

[0246] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0247] There is a need to provide a system that offers exercise plans tailored to individual health conditions and fitness levels, allowing users to enjoy a continuous plan for safe and effective exercise. However, conventional technology has made it difficult to individually optimize the efficiency and effectiveness of exercise, and users have received limited feedback that is appropriate to their own health condition.

[0248] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0249] In this invention, the server includes an interface device means for acquiring physical information, a computing device means for generating an exercise plan using the acquired information, and a device means for automatically adjusting the personalized exercise plan using a generated AI model. This enables a safe and effective exercise experience in a virtual reality environment while providing an optimal exercise plan based on the user's individual health condition and exercise needs.

[0250] A "physical information acquisition interface device" is an input means for inputting and collecting personal data such as a user's height, weight, age, and health status.

[0251] A "computational device that generates an exercise plan using acquired information" is a processing device that creates an optimal exercise plan for the user based on collected physical information.

[0252] A "video device that constructs a virtual reality space and provides exercise instruction" is a display means that provides users with a virtual environment and visually displays exercise instruction according to a plan.

[0253] A "measuring device that monitors a user's movement in real time and provides feedback" is a device that tracks a user's movements using sensors and immediately provides advice and suggestions based on those movements.

[0254] A "data management device for saving exercise-related information and improving future exercise plans" is a database device that accumulates exercise history and performance data, and uses that information to create future exercise plans.

[0255] A "device that automatically adjusts personalized exercise plans using a generative AI model" is a device that utilizes AI technology to analyze user feedback and data and dynamically optimize exercise plans.

[0256] As an embodiment of the present invention, this system constructs an integrated environment combining multiple devices and processes to provide personalized exercise support to the user. The central element of the system is a computing unit that acquires the user's physical information and generates an optimal exercise plan based on that information. The user inputs data such as height, weight, age, and health status through a dedicated input interface. This information is transmitted to a server via a terminal, and the computing unit analyzes it using a generated AI model to generate an exercise plan that is suitable for the individual.

[0257] The server constructs a virtual reality environment on the terminal based on the generated exercise plan. This terminal uses a dedicated device (e.g., a GPU) for rendering 3D graphics, enabling the user to experience immersion through visual means. The user wears a VR device and can receive safe and effective exercise instruction within the virtual reality space.

[0258] During exercise, the user's movements are monitored in real time by the device's measuring equipment. For example, motion sensors and cameras are used to accurately detect movements. The server analyzes this data and provides immediate feedback if it detects a deviation from the planned movements. This feedback is presented to the user through audio and visual means.

[0259] After an exercise session ends, the device stores all exercise-related information in a data management system, making it available on the server for reuse to assist with future planning. This allows users to continuously receive more optimized exercise plans based on their exercise history.

[0260] As a concrete example, a possible input prompt for the generating AI model might be, "Design an optimal exercise plan in a virtual reality environment based on the user's height, weight, age, and health information." This allows the system to provide technical support to help each user achieve their individual goals and enables a sustainable program for maintaining health.

[0261] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0262] Step 1:

[0263] Users access the interface device through their terminal and input information such as height, weight, age, and health status. This information is formatted as digital data and sent to the server. An interactive UI is presented to the user to ensure accurate input.

[0264] Step 2:

[0265] The server processes the received physical information data and inputs it as a prompt to the generating AI model. Following the prompt, "Design an optimal exercise plan in a virtual reality environment based on the user's height, weight, age, and health information," the AI ​​model generates an optimal exercise plan. As output, an exercise plan tailored to each individual user is created.

[0266] Step 3:

[0267] The server sends the generated exercise plan to the terminal. The terminal constructs a virtual reality space based on the received exercise plan data. A dedicated GPU processes the graphics, and when the user wears a VR device, an immersive environment is created. In this environment, the planned exercises are visually displayed, and instruction is provided in real time.

[0268] Step 4:

[0269] The user begins exercising in a virtual reality environment. The device monitors the user's movements using motion sensors and cameras. During this time, real-time analysis is performed to maintain correct form, and immediate feedback is provided as needed. Sensor input of movement is processed and output as audio and visual feedback.

[0270] Step 5:

[0271] Once an exercise session ends, the device organizes the user's exercise data and resends it to the server. The server stores this data in a database and processes it to help generate the next exercise plan. During this process, users are provided with features such as graphs of their exercise performance and the ability to view their history. The AI ​​model then uses this data to create a more effective plan for the next session.

[0272] (Application Example 1)

[0273] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0274] There is a need for a system that allows individuals to easily implement personalized exercise plans and their effective implementation in a home environment, taking their individual health conditions into consideration. However, current technology makes it difficult to create an environment where users can safely and comfortably continue exercising while providing personalized exercise guidance and real-time feedback on effectiveness. To address this problem, there is a need to provide a more efficient and immersive fitness experience.

[0275] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0276] In this invention, the server includes an information input means for recording health status, an information processing means for generating an exercise plan based on the input information, an information presentation means for providing exercise guidance using a video display means that provides a three-dimensional virtual environment, an information detection means for instantly analyzing the subject's movements and presenting the results, an information storage means for accumulating information related to exercise and optimizing the next exercise plan, and a remote guidance means for providing exercise guidance using a home-use automated machine. This makes it possible to create and implement an exercise plan optimized for each individual, and to provide real-time feedback.

[0277] "Information input means for recording health status" refers to a device or function for inputting and recording information about a user's height, weight, age, and health.

[0278] "Information processing means for generating an exercise plan based on input information" refers to a processor or software that analyzes health information provided by the user and creates an exercise plan tailored to each individual.

[0279] The "information presentation means for performing exercise guidance using video display means for providing a three-dimensional virtual environment" refers to a display device or application that displays a virtual reality space and guides the user to be able to exercise therein.

[0280] The "information detection means for instantaneously analyzing the movements of the subject and presenting the results" refers to a device that uses sensors and cameras to detect the user's movements in real time, analyzes the data, and provides feedback to the user.

[0281] The "information storage means for accumulating information related to exercise and optimizing the next exercise plan" refers to a database or storage device that stores the historical data of exercise and utilizes it for the next exercise program.

[0282] The "remote guidance means for implementing exercise guidance using a household automatic machine" refers to a system that remotely guides and adjusts exercises through robots and devices available within the home.

[0283] The present invention is a system for providing exercise support based on the health status of a user. The system is mainly composed of a server, a terminal, and a user. The server receives the health information provided by the user and generates an individual exercise plan based on it. In this process, cloud computing services utilizing AI technology are used. Specific examples include Google Cloud AI and Amazon SageMaker.

[0284] The terminal plays an important role in data communication between the user and the server. Health information is input by the user's operation, and the data is transmitted to the server. The terminal is required to have a function of connecting a VR device or a household robot and displaying a virtual reality environment. In the displayed VR environment, the user receives exercise guidance and actually performs exercises.

[0285] During exercise, the terminal uses a camera and motion sensors to detect the user's movements in real time. For example, IoT technologies such as Raspberry Pi and Arduino are used to instantly analyze the user's actions. The detected motion data is sent to the server, and feedback is provided based on the analysis results. This feedback is presented both audibly and visually.

[0286] When the exercise ends, the terminal records the exercise history data and sends it to the server. The server analyzes this data and further optimizes the next exercise plan. As a result, the user can continuously perform effective exercises.

[0287] As a specific example, for a user doing push-ups, the server can provide audio feedback such as "Lower your shoulders and maintain the correct form." An example of the prompt text used is "Generate an effective home fitness plan based on the user's age, height, weight, and health information." In this way, the user can obtain an individualized exercise experience.

[0288] The flow of the specific process in Application Example 1 will be described using Figure 12.

[0289] Step 1:

[0290] The user uses the terminal to input personal data such as height, weight, age, and health information. The input data is temporarily stored on the terminal. Next, preparations are made to send this data to the server. The input for this step is the health information entered by the user, and the output is the data formatted in a form to be sent to the server.

[0291] Step 2:

[0292] The server analyzes personal data received from the terminal and generates an optimal exercise plan for the user. Here, a generative AI model is used to output a personalized fitness plan based on specific prompt messages. The input is the user's health information sent from the terminal, and the output is an exercise plan tailored to the user. Cloud AI services are used for data analysis.

[0293] Step 3:

[0294] The terminal displays a three-dimensional virtual environment based on the exercise plan received from the server. The VR device provides the user with a more immersive exercise environment. The terminal presents the exercise plan with video and audio, and provides guidance to the user. The input is the exercise plan from the server, and the output is immersive exercise guidance through the VR device.

[0295] Step 4:

[0296] While the user is exercising, the device's built-in camera and sensors detect their movements in real time. The acquired movement data is sent to the cloud, where a server analyzes the user's form and movements. The input is the movement data obtained from the sensors, and the output is feedback based on the analysis results. For example, the system may determine whether the user is exercising with the correct posture.

[0297] Step 5:

[0298] The server receives the analysis results and provides feedback to the user during exercise. The feedback is provided both verbally and visually, for example, by saying, "Keep your shoulders down and maintain the correct form." The input is the analysis results in the cloud, and the output is the feedback to the user.

[0299] Step 6:

[0300] After the exercise is completed, the device stores all the data from the exercise and sends it to the server. The server then uses the stored exercise data to optimize the next exercise plan. The input is the historical data collected during the exercise, and the output is the data used for the next exercise plan. Through this process, exercise plans tailored to the user's needs are continuously proposed.

[0301] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0302] The system in this invention aims to provide an individually optimized exercise experience based on health and emotional states. First, the user inputs their health data using an input device on the terminal. Then, an emotion engine analyzes the user's emotional state in real time through facial expressions, voice, posture, etc. This data is a crucial element for providing exercise guidance tailored to the user's emotions.

[0303] The server first processes health data sent by the user and analyzes emotional data obtained by the emotion engine. Combining this information, it generates an optimal exercise plan for the user. Furthermore, it uses a virtual reality environment via a display device to provide appropriate guidance to the user, offering emotionally responsive feedback.

[0304] When exercising in a virtual reality environment, the device's detection system analyzes the user's movements in real time and provides feedback such as form corrections and encouragement as needed. This allows the user to exercise more effectively.

[0305] As a specific example, when a user feels tired or stressed during exercise, the emotion engine detects it, and the server adjusts the exercise plan and proposes stretching or relaxation exercises. Also, the visuals and music in the virtual reality environment are adjusted according to the user's emotional state to provide a more comfortable exercise experience.

[0306] When the exercise ends, the terminal records the exercise data and emotion data in the data storage device, and the server further optimizes the next exercise plan based on this. Through this process, the user can always receive feedback and exercise plans suitable for their emotional state, and the support to achieve health goals while maintaining motivation is complete.

[0307] The following explains the processing flow.

[0308] Step 1:

[0309] The user uses the input device equipped on the terminal to input their health data. This data includes the user's physical characteristics and health goals, etc.

[0310] Step 2:

[0311] The terminal sends the input health data to the server. The server analyzes the received data and proceeds with preparations to generate an optimal exercise plan for the user.

[0312] Step 3:

[0313] The emotion engine installed on the terminal analyzes the emotion in real time from the user's expression, voice, posture, etc. In particular, it detects the tension level and stress level during exercise.

[0314] Step 4:

[0315] The server comprehensively analyzes the health data and emotion data and generates an exercise plan optimally adjusted to the user's condition on that day. Depending on the emotional state, the difficulty level and type of exercise may also be changed.

[0316] Step 5:

[0317] The server sends the generated exercise plan and emotionally-driven instruction to the terminal. Based on this, the terminal begins providing exercise instruction to the user in a virtual reality environment.

[0318] Step 6:

[0319] The user performs exercises in a virtual reality environment through the device's display. During exercise, an emotion engine continuously monitors emotions, and the device provides visual and audio feedback based on the results.

[0320] Step 7:

[0321] The detection device analyzes the user's movements in real time and sends the data to a server. The server uses this data to generate real-time feedback on correcting movement form and suggesting the next action.

[0322] Step 8:

[0323] Once the exercise is complete, the device records all exercise and emotional data to a data storage device. The server uses this data to further optimize the next exercise plan and prepares to support the user's ongoing health management.

[0324] (Example 2)

[0325] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0326] In modern society, there is a need to efficiently provide personalized exercise plans tailored to each individual's health and emotional state. However, conventional systems have struggled to provide an exercise experience that fully takes into account the user's real-time emotions and exercise status, resulting in the challenge of users having difficulty maintaining their motivation to exercise.

[0327] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0328] In this invention, the server includes an input device means for analyzing health and emotional states, a processing device means for generating an optimized exercise plan based on the analyzed data, and a display device means for providing a virtual reality environment and providing feedback according to the emotional state. This makes it possible to provide a personalized exercise plan and feedback based on the user's health and emotional state.

[0329] "Health status" refers to data that indicates the user's physical condition, including information such as height, weight, age, heart rate, and past exercise history.

[0330] "Emotional state" refers to data that indicates the user's mental state, and is information obtained by analyzing facial expressions, tone of voice, posture, etc.

[0331] An "input device" is a device used to input data about a user's health and emotional state, and includes keyboards, touchscreens, cameras, and microphones.

[0332] A "processing device" is a computer system that processes data based on inputted health and emotional states to generate an optimal exercise plan.

[0333] A "display device" is a device that provides the user with a visual representation of the generated motion plan and feedback, and includes displays and virtual reality headsets.

[0334] A "virtual reality environment" is a computer-generated simulation environment that users can experience in an immersive way.

[0335] A "detection device" is a device that includes sensors and cameras to analyze the user's movements in real time and assist in correcting form and movements during exercise.

[0336] "Feedback" refers to the guidance and corrective advice provided to the user during exercise, presented in audio or visual form.

[0337] A "data storage device" is a recording medium that stores the user's exercise data and emotional data, and uses this data to optimize the next exercise plan.

[0338] A "generative AI model" is an algorithm that uses artificial intelligence to automatically generate a movement plan from input data and adjust it as needed.

[0339] A "prompt statement" is a text-based input statement used to give instructions to a generative AI model, and it includes commands to control the model's behavior.

[0340] In this invention, the user first uses an input device installed in the terminal to input data about their health status. This data includes information such as height, weight, age, heart rate, and past exercise history. The terminal processes this information and sends it to the server.

[0341] Next, the user's facial expressions, voice, and posture are analyzed in real time through the device's emotion engine, and their emotional state is determined. The emotion engine uses specific software such as TensorFlow and OpenCV to analyze the user's emotional data. This allows the system to understand the user's emotional state and use this information to optimize the movement plan.

[0342] The server receives health and emotional state data sent from the terminal and uses a generative AI model to generate an exercise plan optimized for the user. The generative AI model uses the prompt "Suggest an exercise menu based on the user's health and emotional state" to create a more personalized exercise program.

[0343] The server then uses a virtual reality environment to provide the user with the generated exercise plan. This environment utilizes a virtual reality headset as a display device, and the scene and music are adjusted according to the user's emotions. For example, if the user is feeling stressed, an exercise scene in a quiet forest is selected, and relaxation is promoted to facilitate the exercise.

[0344] During exercise, the device's detection system analyzes the user's movements in real time and provides feedback such as form corrections and encouragement as needed. For example, voice feedback such as "Lift your left leg a little higher" is given to help improve the user's exercise performance.

[0345] Once the exercise is complete, the device records exercise data and emotional data in a data storage device. The server then uses this data to further optimize the next exercise plan, ensuring that the user always receives the best possible exercise experience.

[0346] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0347] Step 1:

[0348] Users input their health data using the terminal's input device. This input device uses a keyboard or touchscreen to collect information such as height, weight, age, heart rate, and past exercise history. This data is stored in the terminal and prepared to be sent to the server. The entered health data is used as basic data to generate an exercise plan.

[0349] Step 2:

[0350] The device uses its built-in camera and microphone to capture the user's facial expressions, voice, and posture. The emotion engine analyzes this captured data to determine the user's emotional state in real time. Specifically, it determines states such as "relaxed" or "stressed" based on the user's smile, voice tone, etc. The analyzed emotional data is sent to a server and used as a factor influencing the exercise plan.

[0351] Step 3:

[0352] The device sends the collected health and emotional data to the server. The server receives this data and stores it in a database. At this time, it verifies the reliability of the communication and logs that the data transfer was performed correctly. The input health and emotional data is then ready to be analyzed by a generative AI model.

[0353] Step 4:

[0354] The server uses an AI model based on the received data to generate an exercise plan optimized for the user. This process uses the prompt "Suggest an exercise menu based on the user's health condition and emotions." The generated exercise plan is tailored to the user's individual health condition and emotions, aiming to maximize the user's exercise efficiency.

[0355] Step 5:

[0356] The server sets up a virtual reality environment to provide the user with the generated exercise plan. A virtual reality headset is used as the display device, and the generated exercise plan is visually presented to the user. The visuals and music of the environment are also adjusted according to the user's emotional state to enhance immersion.

[0357] Step 6:

[0358] The device's detection system analyzes the user's movements in real time. As the user exercises in the virtual reality environment, it checks their form and provides corrective instructions via voice feedback if necessary. For example, it might say, "Raise your right arm higher." This analysis result is then sent back to the server and used as data to help improve the user's exercise performance.

[0359] Step 7:

[0360] Once an exercise session ends, the device saves all exercise and emotional data to a data storage device. This data is used to optimize the next exercise plan. The server analyzes the stored data and prepares to adjust the exercise plan to provide the user with an even more suitable exercise experience in subsequent sessions.

[0361] (Application Example 2)

[0362] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0363] In modern society, maintaining personal health and emotional stability are highly valued, but providing appropriate exercise plans tailored to each user's unique health condition and emotional changes is a challenging problem. Especially when exercising at home, detailed exercise guidance and feedback adapted to the environment are required. To address this challenge, it is necessary to develop a new system that provides an optimal exercise experience tailored to individual needs.

[0364] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0365] In this invention, the server includes an input device means for recording health status, an analysis device means for analyzing emotional state and performing exercise adjustments according to emotion, and a display device that provides a virtual reality environment, and means for providing exercise guidance. This enables real-time exercise adjustment and feedback based on an individual's health status and emotional state.

[0366] A "health status recording input device" is a device that collects and records data related to the user's physical health.

[0367] A "processing device for generating exercise plans" is a device that designs the optimal exercise schedule and content for the user based on the input data.

[0368] A "display device that provides a virtual reality environment" is a device that provides users with visual exercise guidance through virtual reality.

[0369] A "detection device that analyzes user movements in real time and provides feedback" is a device that instantly analyzes the user's movements during exercise and provides timely feedback on areas for improvement and words of encouragement.

[0370] A "data storage device that accumulates exercise data and optimizes the next exercise plan" is a device that saves the results of an exercise performed once and uses that data to improve subsequent exercise plans.

[0371] An "analysis device that analyzes emotional states and adjusts movements accordingly" is a device that determines the user's emotions from their facial expressions and voice, and adjusts the movement based on that information.

[0372] A "display device that provides relaxation exercises and adjusted visual and auditory effects based on emotions during exercise" is a device that provides images and music tailored to the user's psychological state and suggests relaxing exercises as needed.

[0373] The system that realizes this invention provides an individually optimized exercise experience based on the user's health and emotional state. It primarily employs the following hardware and software configuration.

[0374] The device first collects health-related data from the user through an input device that records health status. This data forms the basis for the processing described below.

[0375] The server is equipped with an emotion analysis device to analyze and integrate this data with the user's emotional state. This device analyzes the user's emotions in real time from their facial expressions, voice, posture, etc., and generates an optimal exercise plan based on that information. In this process, a generative AI model is used for emotion analysis, and prompt messages are used to effectively analyze the data. For example, a prompt message in the format of "Analyze the user's current emotional state and suggest an appropriate exercise plan. If the user is tired, recommend relaxation exercises and play relaxing music" is used.

[0376] After an exercise plan is generated, a virtual reality environment is provided via a display device, within which the user begins exercising. The user's movements are analyzed in real time by a detection device, and immediate feedback is provided to correct form and boost motivation as needed. Furthermore, visual and auditory effects are modified based on the user's emotional state to create a comfortable and fulfilling exercise experience.

[0377] At the end of each workout, all exercise and emotional data is stored in a data storage device and used to optimize the next workout plan. This repeated process supports users in maintaining a healthy lifestyle.

[0378] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0379] Step 1:

[0380] The terminal collects health data from the user via an input device that records health status. Specifically, the user enters health data such as weight, height, and heart rate into an input form. The entered data is used for analysis in the next step. The input is the user's health information, and the output is the recorded health data.

[0381] Step 2:

[0382] The device uses a camera and microphone to capture the user's facial expressions and voice in real time, generating up-to-date emotion analysis data. The generative AI model used here is input in the form of a prompt message: "Analyze the user's emotional state and generate a corresponding motor plan." This analysis yields the user's emotional data. The input is the user's facial expressions and voice information, and the output is the analyzed emotional state.

[0383] Step 3:

[0384] The server integrates collected health data and analyzed emotional data, and a processing unit generates an optimal exercise plan. For example, if the emotion is determined to be "fatigue," relaxation elements will be incorporated into the exercise plan. A generative AI model is used for processing, which transforms the health data and emotional data through prompt messages. The output is an exercise plan optimized for the user.

[0385] Step 4:

[0386] The server presents this result to the user as a virtual reality environment via a display device, and the user begins exercising. Specifically, it utilizes 3D graphics and sound effects to create an environment in which the user can visually and aurally experience the exercise. The displayed content is optimized for the user's state. The output is the virtual reality environment presented to the user.

[0387] Step 5:

[0388] The device analyzes the user's movements during exercise in real time using a detection device and provides immediate feedback. For example, if there is an error in the movement, areas for improvement will be displayed on the screen, and instructions such as "Bend your knees a little more" will be given via voice. The input is the user's movement data, and the output is the feedback information provided.

[0389] Step 6:

[0390] Once the exercise is complete, the device records all exercise and emotional data to a data storage device. This recorded information is used to improve the accuracy of future exercise plans. The input is the data collected during the exercise, and the output is the stored data used to optimize the next plan.

[0391] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0392] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0393] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0394] [Third Embodiment]

[0395] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0396] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0397] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0398] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0399] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0400] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0401] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0402] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0403] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0404] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0405] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0406] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0407] This invention provides an exercise support system in a virtual reality environment based on the individual needs of the user. First, the user provides information such as height, weight, age, and health using an input device on a terminal. This data is transmitted from the terminal to a server, where a processing unit analyzes it to generate an optimal exercise plan for the user.

[0408] Once an exercise plan is generated, the device begins providing specific exercise instructions to the user through a virtual reality environment. During this process, the device's built-in display shows the virtual environment to enhance the user's immersive exercise experience. Users can exercise safely and enjoyably through the VR device.

[0409] During exercise, the user's movements are monitored in real time by a detection device built into the terminal and transmitted to a server. This data is analyzed on the server, and effective feedback is provided to the user to maximize the effectiveness of the exercise. For example, if the arm movements are incorrect, the system will detect this and provide correct form as audio or visual feedback.

[0410] Once an exercise session ends, the device saves the exercise data to a data storage device, which is then used to plan the user's next exercise session. Based on the stored data, the server generates a more personalized plan and provides it to the user, supporting them in maintaining sustainable healthy habits.

[0411] For example, if a user wants to improve their muscle strength, the system will create a plan centered on strength training and advise on selecting appropriate weights and adjusting duration during exercise. If the primary goal is calorie burning, the system will create a plan that includes a significant amount of aerobic exercise and provide guidance on how to maintain an appropriate heart rate.

[0412] Thus, the system of the present invention provides comprehensive support for users to achieve their individual goals and enables them to develop healthy habits while having fun.

[0413] The following describes the processing flow.

[0414] Step 1:

[0415] Users input data about their personal health (e.g., height, weight, age, health status, etc.) through an input device built into the terminal. This initial data is used as basic information necessary for developing an exercise plan.

[0416] Step 2:

[0417] The device sends the entered health data to the server. The server receives the data and prepares to securely store it in its database.

[0418] Step 3:

[0419] The server analyzes the stored data and generates an exercise plan optimized for each individual user's needs. This plan takes into account the user's health goals and physical condition.

[0420] Step 4:

[0421] The server sends the generated exercise plan to the terminal. Based on this plan, the terminal begins providing exercise guidance to the user within the virtual reality environment.

[0422] Step 5:

[0423] The user begins exercising in a virtual reality environment provided through the device's display. During the exercise, the user's movements are recorded in real time by the device's detection device, and this data is transmitted to a server.

[0424] Step 6:

[0425] The server analyzes real-time motion data and generates feedback to help users exercise with proper form and train effectively. This feedback is sent to the device and provided to the user either verbally or visually.

[0426] Step 7:

[0427] After the exercise session ends, the device saves the recorded exercise data to a data storage device. The server then uses this data to optimize the user's next exercise plan.

[0428] Step 8:

[0429] The server then uses the accumulated data and user feedback to generate a more effective workout plan for the next session and sends it to the device for the next training session.

[0430] (Example 1)

[0431] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0432] There is a need to provide a system that offers exercise plans tailored to individual health conditions and fitness levels, allowing users to enjoy a continuous plan for safe and effective exercise. However, conventional technology has made it difficult to individually optimize the efficiency and effectiveness of exercise, and users have received limited feedback that is appropriate to their own health condition.

[0433] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0434] In this invention, the server includes an interface device means for acquiring physical information, a computing device means for generating an exercise plan using the acquired information, and a device means for automatically adjusting the personalized exercise plan using a generated AI model. This enables a safe and effective exercise experience in a virtual reality environment while providing an optimal exercise plan based on the user's individual health condition and exercise needs.

[0435] A "physical information acquisition interface device" is an input means for inputting and collecting personal data such as a user's height, weight, age, and health status.

[0436] A "computational device that generates an exercise plan using acquired information" is a processing device that creates an optimal exercise plan for the user based on collected physical information.

[0437] A "video device that constructs a virtual reality space and provides exercise instruction" is a display means that provides users with a virtual environment and visually displays exercise instruction according to a plan.

[0438] A "measuring device that monitors a user's movement in real time and provides feedback" is a device that tracks a user's movements using sensors and immediately provides advice and suggestions based on those movements.

[0439] A "data management device for saving exercise-related information and improving future exercise plans" is a database device that accumulates exercise history and performance data, and uses that information to create future exercise plans.

[0440] A "device that automatically adjusts personalized exercise plans using a generative AI model" is a device that utilizes AI technology to analyze user feedback and data and dynamically optimize exercise plans.

[0441] As an embodiment of the present invention, this system constructs an integrated environment combining multiple devices and processes to provide personalized exercise support to the user. The central element of the system is a computing unit that acquires the user's physical information and generates an optimal exercise plan based on that information. The user inputs data such as height, weight, age, and health status through a dedicated input interface. This information is transmitted to a server via a terminal, and the computing unit analyzes it using a generated AI model to generate an exercise plan that is suitable for the individual.

[0442] The server constructs a virtual reality environment on the terminal based on the generated exercise plan. This terminal uses a dedicated device (e.g., a GPU) for rendering 3D graphics, enabling the user to experience immersion through visual means. The user wears a VR device and can receive safe and effective exercise instruction within the virtual reality space.

[0443] During exercise, the user's movements are monitored in real time by the device's measuring equipment. For example, motion sensors and cameras are used to accurately detect movements. The server analyzes this data and provides immediate feedback if it detects a deviation from the planned movements. This feedback is presented to the user through audio and visual means.

[0444] After an exercise session ends, the device stores all exercise-related information in a data management system, making it available on the server for reuse to assist with future planning. This allows users to continuously receive more optimized exercise plans based on their exercise history.

[0445] As a concrete example, a possible input prompt for the generating AI model might be, "Design an optimal exercise plan in a virtual reality environment based on the user's height, weight, age, and health information." This allows the system to provide technical support to help each user achieve their individual goals and enables a sustainable program for maintaining health.

[0446] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0447] Step 1:

[0448] Users access the interface device through their terminal and input information such as height, weight, age, and health status. This information is formatted as digital data and sent to the server. An interactive UI is presented to the user to ensure accurate input.

[0449] Step 2:

[0450] The server processes the received physical information data and inputs it as a prompt to the generating AI model. Following the prompt, "Design an optimal exercise plan in a virtual reality environment based on the user's height, weight, age, and health information," the AI ​​model generates an optimal exercise plan. As output, an exercise plan tailored to each individual user is created.

[0451] Step 3:

[0452] The server sends the generated exercise plan to the terminal. The terminal constructs a virtual reality space based on the received exercise plan data. A dedicated GPU processes the graphics, and when the user wears a VR device, an immersive environment is created. In this environment, the planned exercises are visually displayed, and instruction is provided in real time.

[0453] Step 4:

[0454] The user begins exercising in a virtual reality environment. The device monitors the user's movements using motion sensors and cameras. During this time, real-time analysis is performed to maintain correct form, and immediate feedback is provided as needed. Sensor input of movement is processed and output as audio and visual feedback.

[0455] Step 5:

[0456] Once an exercise session ends, the device organizes the user's exercise data and resends it to the server. The server stores this data in a database and processes it to help generate the next exercise plan. During this process, users are provided with features such as graphs of their exercise performance and the ability to view their history. The AI ​​model then uses this data to create a more effective plan for the next session.

[0457] (Application Example 1)

[0458] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0459] There is a need for a system that allows individuals to easily implement personalized exercise plans and their effective implementation in a home environment, taking their individual health conditions into consideration. However, current technology makes it difficult to create an environment where users can safely and comfortably continue exercising while providing personalized exercise guidance and real-time feedback on effectiveness. To address this problem, there is a need to provide a more efficient and immersive fitness experience.

[0460] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0461] In this invention, the server includes an information input means for recording health status, an information processing means for generating an exercise plan based on the input information, an information presentation means for providing exercise guidance using a video display means that provides a three-dimensional virtual environment, an information detection means for instantly analyzing the subject's movements and presenting the results, an information storage means for accumulating information related to exercise and optimizing the next exercise plan, and a remote guidance means for providing exercise guidance using a home-use automated machine. This makes it possible to create and implement an exercise plan optimized for each individual, and to provide real-time feedback.

[0462] "Information input means for recording health status" refers to a device or function for inputting and recording information about a user's height, weight, age, and health.

[0463] "Information processing means for generating an exercise plan based on input information" refers to a processor or software that analyzes health information provided by the user and creates an exercise plan tailored to each individual.

[0464] "Information presentation means for providing exercise guidance using video display means that provide a three-dimensional virtual environment" refers to a display device or application that displays a virtual reality space and guides the user so that they can exercise within it.

[0465] "Information detection means that instantly analyzes the subject's movements and presents the results" refers to a device that uses sensors and cameras to detect the user's movements in real time, analyzes that data, and provides feedback to the user.

[0466] "Information storage means for accumulating exercise-related information and optimizing the next exercise plan" refers to databases or storage devices that store exercise history data and use it to inform the next exercise program.

[0467] "Remote instruction methods for providing exercise guidance using home-use automated machines" refers to systems that provide remote exercise guidance and adjustments through robots or devices usable in the home.

[0468] This invention relates to a system for providing exercise support based on a user's health status. The system mainly consists of a server, a terminal, and a user. The server receives health information provided by the user and generates an individualized exercise plan based on it. This process utilizes cloud computing services that leverage AI technology. Specific examples include Google Cloud AI and Amazon SageMaker.

[0469] The terminal plays a crucial role in facilitating data communication between the user and the server. Health information is entered through user input, and this data is transmitted to the server. The terminal is required to connect to VR devices or home robots and display a virtual reality environment. In the displayed VR environment, the user receives exercise guidance and actually performs the exercises.

[0470] During exercise, the device uses cameras and motion sensors to detect the user's movements in real time. For example, IoT technologies such as Raspberry Pi and Arduino are used to instantly analyze the user's movements. The detected movement data is sent to a server, and feedback is provided based on the analysis results. This feedback is presented both audibly and visually.

[0471] Once an exercise session is complete, the device records exercise history data and sends it to a server. The server analyzes this data to further optimize the next exercise plan. This allows users to consistently engage in effective exercise.

[0472] For example, a server could provide voice feedback to a user doing push-ups, saying, "Keep your shoulders down and maintain correct form." An example of a prompt that could be used is, "Generate an effective home fitness plan based on the user's age, height, weight, and health information." In this way, users can receive a personalized exercise experience.

[0473] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0474] Step 1:

[0475] The user uses a device to enter personal data such as height, weight, age, and health information. The entered data is temporarily stored on the device. Next, this data is prepared to be sent to the server. The input in this step is the health information entered by the user, and the output is data formatted in a format to be sent to the server.

[0476] Step 2:

[0477] The server analyzes personal data received from the terminal and generates an optimal exercise plan for the user. Here, a generative AI model is used to output a personalized fitness plan based on specific prompt messages. The input is the user's health information sent from the terminal, and the output is an exercise plan tailored to the user. Cloud AI services are used for data analysis.

[0478] Step 3:

[0479] The terminal displays a three-dimensional virtual environment based on the exercise plan received from the server. The VR device provides the user with a more immersive exercise environment. The terminal presents the exercise plan with video and audio, and provides guidance to the user. The input is the exercise plan from the server, and the output is immersive exercise guidance through the VR device.

[0480] Step 4:

[0481] While the user is exercising, the device's built-in camera and sensors detect their movements in real time. The acquired movement data is sent to the cloud, where a server analyzes the user's form and movements. The input is the movement data obtained from the sensors, and the output is feedback based on the analysis results. For example, the system may determine whether the user is exercising with the correct posture.

[0482] Step 5:

[0483] The server receives the analysis results and provides feedback to the user during exercise. The feedback is provided both verbally and visually, for example, by saying, "Keep your shoulders down and maintain the correct form." The input is the analysis results in the cloud, and the output is the feedback to the user.

[0484] Step 6:

[0485] After the exercise is completed, the device stores all the data from the exercise and sends it to the server. The server then uses the stored exercise data to optimize the next exercise plan. The input is the historical data collected during the exercise, and the output is the data used for the next exercise plan. Through this process, exercise plans tailored to the user's needs are continuously proposed.

[0486] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0487] The system in this invention aims to provide an individually optimized exercise experience based on health and emotional states. First, the user inputs their health data using an input device on the terminal. Then, an emotion engine analyzes the user's emotional state in real time through facial expressions, voice, posture, etc. This data is a crucial element for providing exercise guidance tailored to the user's emotions.

[0488] The server first processes health data sent by the user and analyzes emotional data obtained by the emotion engine. Combining this information, it generates an optimal exercise plan for the user. Furthermore, it uses a virtual reality environment via a display device to provide appropriate guidance to the user, offering emotionally responsive feedback.

[0489] When exercising in a virtual reality environment, the device's detection system analyzes the user's movements in real time and provides feedback such as form corrections and encouragement as needed. This allows the user to exercise more effectively.

[0490] For example, if a user feels tired or stressed during exercise, the emotion engine detects this, and the server adjusts the exercise plan to suggest stretches and relaxation exercises. Furthermore, the visuals and music of the virtual reality environment are also adjusted to match the user's emotional state, providing a more comfortable exercise experience.

[0491] Once the exercise is complete, the device records exercise and emotional data in a data storage device, and the server uses this data to further optimize the next exercise plan. This process ensures that users always receive feedback and exercise plans tailored to their emotional state, providing support for achieving health goals while maintaining motivation.

[0492] The following describes the processing flow.

[0493] Step 1:

[0494] Users input their health data using the input device equipped on the terminal. This data includes the user's physical characteristics and health goals.

[0495] Step 2:

[0496] The device sends the entered health data to the server. The server analyzes the received data and prepares to generate an optimal exercise plan for the user.

[0497] Step 3:

[0498] The emotion engine built into the device analyzes the user's emotions in real time from their facial expressions, voice, and posture. In particular, it detects tension levels and stress levels during exercise.

[0499] Step 4:

[0500] The server comprehensively analyzes health and emotional data to generate an exercise plan that is optimally tailored to the user's condition on that day. Depending on the emotional state, the difficulty and type of exercise may also be changed.

[0501] Step 5:

[0502] The server sends the generated exercise plan and emotionally-driven instruction to the terminal. Based on this, the terminal begins providing exercise instruction to the user in a virtual reality environment.

[0503] Step 6:

[0504] The user performs exercises in a virtual reality environment through the device's display. During exercise, an emotion engine continuously monitors emotions, and the device provides visual and audio feedback based on the results.

[0505] Step 7:

[0506] The detection device analyzes the user's movements in real time and sends the data to a server. The server uses this data to generate real-time feedback on correcting movement form and suggesting the next action.

[0507] Step 8:

[0508] Once the exercise is complete, the device records all exercise and emotional data to a data storage device. The server uses this data to further optimize the next exercise plan and prepares to support the user's ongoing health management.

[0509] (Example 2)

[0510] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0511] In modern society, there is a need to efficiently provide personalized exercise plans tailored to each individual's health and emotional state. However, conventional systems have struggled to provide an exercise experience that fully takes into account the user's real-time emotions and exercise status, resulting in the challenge of users having difficulty maintaining their motivation to exercise.

[0512] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0513] In this invention, the server includes an input device means for analyzing health and emotional states, a processing device means for generating an optimized exercise plan based on the analyzed data, and a display device means for providing a virtual reality environment and providing feedback according to the emotional state. This makes it possible to provide a personalized exercise plan and feedback based on the user's health and emotional state.

[0514] "Health status" refers to data that indicates the user's physical condition, including information such as height, weight, age, heart rate, and past exercise history.

[0515] "Emotional state" refers to data that indicates the user's mental state, and is information obtained by analyzing facial expressions, tone of voice, posture, etc.

[0516] An "input device" is a device used to input data about a user's health and emotional state, and includes keyboards, touchscreens, cameras, and microphones.

[0517] A "processing device" is a computer system that processes data based on inputted health and emotional states to generate an optimal exercise plan.

[0518] A "display device" is a device that provides the user with a visual representation of the generated motion plan and feedback, and includes displays and virtual reality headsets.

[0519] A "virtual reality environment" is a computer-generated simulation environment that users can experience in an immersive way.

[0520] A "detection device" is a device that includes sensors and cameras to analyze the user's movements in real time and assist in correcting form and movements during exercise.

[0521] "Feedback" refers to the guidance and corrective advice provided to the user during exercise, presented in audio or visual form.

[0522] A "data storage device" is a recording medium that stores the user's exercise data and emotional data, and uses this data to optimize the next exercise plan.

[0523] A "generative AI model" is an algorithm that uses artificial intelligence to automatically generate a movement plan from input data and adjust it as needed.

[0524] A "prompt statement" is a text-based input statement used to give instructions to a generative AI model, and it includes commands to control the model's behavior.

[0525] In this invention, the user first uses an input device installed in the terminal to input data about their health status. This data includes information such as height, weight, age, heart rate, and past exercise history. The terminal processes this information and sends it to the server.

[0526] Next, the user's facial expressions, voice, and posture are analyzed in real time through the device's emotion engine, and their emotional state is determined. The emotion engine uses specific software such as TensorFlow and OpenCV to analyze the user's emotional data. This allows the system to understand the user's emotional state and use this information to optimize the movement plan.

[0527] The server receives health and emotional state data sent from the terminal and uses a generative AI model to generate an exercise plan optimized for the user. The generative AI model uses the prompt "Suggest an exercise menu based on the user's health and emotional state" to create a more personalized exercise program.

[0528] The server then uses a virtual reality environment to provide the user with the generated exercise plan. This environment utilizes a virtual reality headset as a display device, and the scene and music are adjusted according to the user's emotions. For example, if the user is feeling stressed, an exercise scene in a quiet forest is selected, and relaxation is promoted to facilitate the exercise.

[0529] During exercise, the device's detection system analyzes the user's movements in real time and provides feedback such as form corrections and encouragement as needed. For example, voice feedback such as "Lift your left leg a little higher" is given to help improve the user's exercise performance.

[0530] Once the exercise is complete, the device records exercise data and emotional data in a data storage device. The server then uses this data to further optimize the next exercise plan, ensuring that the user always receives the best possible exercise experience.

[0531] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0532] Step 1:

[0533] Users input their health data using the terminal's input device. This input device uses a keyboard or touchscreen to collect information such as height, weight, age, heart rate, and past exercise history. This data is stored in the terminal and prepared to be sent to the server. The entered health data is used as basic data to generate an exercise plan.

[0534] Step 2:

[0535] The device uses its built-in camera and microphone to capture the user's facial expressions, voice, and posture. The emotion engine analyzes this captured data to determine the user's emotional state in real time. Specifically, it determines states such as "relaxed" or "stressed" based on the user's smile, voice tone, etc. The analyzed emotional data is sent to a server and used as a factor influencing the exercise plan.

[0536] Step 3:

[0537] The device sends the collected health and emotional data to the server. The server receives this data and stores it in a database. At this time, it verifies the reliability of the communication and logs that the data transfer was performed correctly. The input health and emotional data is then ready to be analyzed by a generative AI model.

[0538] Step 4:

[0539] The server uses an AI model based on the received data to generate an exercise plan optimized for the user. This process uses the prompt "Suggest an exercise menu based on the user's health condition and emotions." The generated exercise plan is tailored to the user's individual health condition and emotions, aiming to maximize the user's exercise efficiency.

[0540] Step 5:

[0541] The server sets up a virtual reality environment to provide the user with the generated exercise plan. A virtual reality headset is used as the display device, and the generated exercise plan is visually presented to the user. The visuals and music of the environment are also adjusted according to the user's emotional state to enhance immersion.

[0542] Step 6:

[0543] The device's detection system analyzes the user's movements in real time. As the user exercises in the virtual reality environment, it checks their form and provides corrective instructions via voice feedback if necessary. For example, it might say, "Raise your right arm higher." This analysis result is then sent back to the server and used as data to help improve the user's exercise performance.

[0544] Step 7:

[0545] Once an exercise session ends, the device saves all exercise and emotional data to a data storage device. This data is used to optimize the next exercise plan. The server analyzes the stored data and prepares to adjust the exercise plan to provide the user with an even more suitable exercise experience in subsequent sessions.

[0546] (Application Example 2)

[0547] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0548] In modern society, maintaining personal health and emotional stability are highly valued, but providing appropriate exercise plans tailored to each user's unique health condition and emotional changes is a challenging problem. Especially when exercising at home, detailed exercise guidance and feedback adapted to the environment are required. To address this challenge, it is necessary to develop a new system that provides an optimal exercise experience tailored to individual needs.

[0549] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0550] In this invention, the server includes an input device means for recording health status, an analysis device means for analyzing emotional state and performing exercise adjustments according to emotion, and a display device that provides a virtual reality environment, and means for providing exercise guidance. This enables real-time exercise adjustment and feedback based on an individual's health status and emotional state.

[0551] A "health status recording input device" is a device that collects and records data related to the user's physical health.

[0552] A "processing device for generating exercise plans" is a device that designs the optimal exercise schedule and content for the user based on the input data.

[0553] A "display device that provides a virtual reality environment" is a device that provides users with visual exercise guidance through virtual reality.

[0554] A "detection device that analyzes user movements in real time and provides feedback" is a device that instantly analyzes the user's movements during exercise and provides timely feedback on areas for improvement and words of encouragement.

[0555] A "data storage device that accumulates exercise data and optimizes the next exercise plan" is a device that saves the results of an exercise performed once and uses that data to improve subsequent exercise plans.

[0556] An "analysis device that analyzes emotional states and adjusts movements accordingly" is a device that determines the user's emotions from their facial expressions and voice, and adjusts the movement based on that information.

[0557] A "display device that provides relaxation exercises and adjusted visual and auditory effects based on emotions during exercise" is a device that provides images and music tailored to the user's psychological state and suggests relaxing exercises as needed.

[0558] The system that realizes this invention provides an individually optimized exercise experience based on the user's health and emotional state. It primarily employs the following hardware and software configuration.

[0559] The device first collects health-related data from the user through an input device that records health status. This data forms the basis for the processing described below.

[0560] The server is equipped with an emotion analysis device to analyze and integrate this data with the user's emotional state. This device analyzes the user's emotions in real time from their facial expressions, voice, posture, etc., and generates an optimal exercise plan based on that information. In this process, a generative AI model is used for emotion analysis, and prompt messages are used to effectively analyze the data. For example, a prompt message in the format of "Analyze the user's current emotional state and suggest an appropriate exercise plan. If the user is tired, recommend relaxation exercises and play relaxing music" is used.

[0561] After an exercise plan is generated, a virtual reality environment is provided via a display device, within which the user begins exercising. The user's movements are analyzed in real time by a detection device, and immediate feedback is provided to correct form and boost motivation as needed. Furthermore, visual and auditory effects are modified based on the user's emotional state to create a comfortable and fulfilling exercise experience.

[0562] At the end of each workout, all exercise and emotional data is stored in a data storage device and used to optimize the next workout plan. This repeated process supports users in maintaining a healthy lifestyle.

[0563] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0564] Step 1:

[0565] The terminal collects health data from the user via an input device that records health status. Specifically, the user enters health data such as weight, height, and heart rate into an input form. The entered data is used for analysis in the next step. The input is the user's health information, and the output is the recorded health data.

[0566] Step 2:

[0567] The device uses a camera and microphone to capture the user's facial expressions and voice in real time, generating up-to-date emotion analysis data. The generative AI model used here is input in the form of a prompt message: "Analyze the user's emotional state and generate a corresponding motor plan." This analysis yields the user's emotional data. The input is the user's facial expressions and voice information, and the output is the analyzed emotional state.

[0568] Step 3:

[0569] The server integrates collected health data and analyzed emotional data, and a processing unit generates an optimal exercise plan. For example, if the emotion is determined to be "fatigue," relaxation elements will be incorporated into the exercise plan. A generative AI model is used for processing, which transforms the health data and emotional data through prompt messages. The output is an exercise plan optimized for the user.

[0570] Step 4:

[0571] The server presents this result to the user as a virtual reality environment via a display device, and the user begins exercising. Specifically, it utilizes 3D graphics and sound effects to create an environment in which the user can visually and aurally experience the exercise. The displayed content is optimized for the user's state. The output is the virtual reality environment presented to the user.

[0572] Step 5:

[0573] The device analyzes the user's movements during exercise in real time using a detection device and provides immediate feedback. For example, if there is an error in the movement, areas for improvement will be displayed on the screen, and instructions such as "Bend your knees a little more" will be given via voice. The input is the user's movement data, and the output is the feedback information provided.

[0574] Step 6:

[0575] Once the exercise is complete, the device records all exercise and emotional data to a data storage device. This recorded information is used to improve the accuracy of future exercise plans. The input is the data collected during the exercise, and the output is the stored data used to optimize the next plan.

[0576] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0577] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0578] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0579] [Fourth Embodiment]

[0580] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0581] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0582] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0583] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0584] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0585] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0586] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0587] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0588] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0589] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0590] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0591] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0592] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0593] This invention provides an exercise support system in a virtual reality environment based on the individual needs of the user. First, the user provides information such as height, weight, age, and health using an input device on a terminal. This data is transmitted from the terminal to a server, where a processing unit analyzes it to generate an optimal exercise plan for the user.

[0594] Once an exercise plan is generated, the device begins providing specific exercise instructions to the user through a virtual reality environment. During this process, the device's built-in display shows the virtual environment to enhance the user's immersive exercise experience. Users can exercise safely and enjoyably through the VR device.

[0595] During exercise, the user's movements are monitored in real time by a detection device built into the terminal and transmitted to a server. This data is analyzed on the server, and effective feedback is provided to the user to maximize the effectiveness of the exercise. For example, if the arm movements are incorrect, the system will detect this and provide correct form as audio or visual feedback.

[0596] Once an exercise session ends, the device saves the exercise data to a data storage device, which is then used to plan the user's next exercise session. Based on the stored data, the server generates a more personalized plan and provides it to the user, supporting them in maintaining sustainable healthy habits.

[0597] For example, if a user wants to improve their muscle strength, the system will create a plan centered on strength training and advise on selecting appropriate weights and adjusting duration during exercise. If the primary goal is calorie burning, the system will create a plan that includes a significant amount of aerobic exercise and provide guidance on how to maintain an appropriate heart rate.

[0598] Thus, the system of the present invention provides comprehensive support for users to achieve their individual goals and enables them to develop healthy habits while having fun.

[0599] The following describes the processing flow.

[0600] Step 1:

[0601] Users input data about their personal health (e.g., height, weight, age, health status, etc.) through an input device built into the terminal. This initial data is used as basic information necessary for developing an exercise plan.

[0602] Step 2:

[0603] The device sends the entered health data to the server. The server receives the data and prepares to securely store it in its database.

[0604] Step 3:

[0605] The server analyzes the stored data and generates an exercise plan optimized for each individual user's needs. This plan takes into account the user's health goals and physical condition.

[0606] Step 4:

[0607] The server sends the generated exercise plan to the terminal. Based on this plan, the terminal begins providing exercise guidance to the user within the virtual reality environment.

[0608] Step 5:

[0609] The user begins exercising in a virtual reality environment provided through the device's display. During the exercise, the user's movements are recorded in real time by the device's detection device, and this data is transmitted to a server.

[0610] Step 6:

[0611] The server analyzes real-time motion data and generates feedback to help users exercise with proper form and train effectively. This feedback is sent to the device and provided to the user either verbally or visually.

[0612] Step 7:

[0613] After the exercise session ends, the device saves the recorded exercise data to a data storage device. The server then uses this data to optimize the user's next exercise plan.

[0614] Step 8:

[0615] The server then uses the accumulated data and user feedback to generate a more effective workout plan for the next session and sends it to the device for the next training session.

[0616] (Example 1)

[0617] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0618] There is a need to provide a system that offers exercise plans tailored to individual health conditions and fitness levels, allowing users to enjoy a continuous plan for safe and effective exercise. However, conventional technology has made it difficult to individually optimize the efficiency and effectiveness of exercise, and users have received limited feedback that is appropriate to their own health condition.

[0619] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0620] In this invention, the server includes an interface device means for acquiring physical information, a computing device means for generating an exercise plan using the acquired information, and a device means for automatically adjusting the personalized exercise plan using a generated AI model. This enables a safe and effective exercise experience in a virtual reality environment while providing an optimal exercise plan based on the user's individual health condition and exercise needs.

[0621] A "physical information acquisition interface device" is an input means for inputting and collecting personal data such as a user's height, weight, age, and health status.

[0622] A "computational device that generates an exercise plan using acquired information" is a processing device that creates an optimal exercise plan for the user based on collected physical information.

[0623] A "video device that constructs a virtual reality space and provides exercise instruction" is a display means that provides users with a virtual environment and visually displays exercise instruction according to a plan.

[0624] A "measuring device that monitors a user's movement in real time and provides feedback" is a device that tracks a user's movements using sensors and immediately provides advice and suggestions based on those movements.

[0625] A "data management device for saving exercise-related information and improving future exercise plans" is a database device that accumulates exercise history and performance data, and uses that information to create future exercise plans.

[0626] A "device that automatically adjusts personalized exercise plans using a generative AI model" is a device that utilizes AI technology to analyze user feedback and data and dynamically optimize exercise plans.

[0627] As an embodiment of the present invention, this system constructs an integrated environment combining multiple devices and processes to provide personalized exercise support to the user. The central element of the system is a computing unit that acquires the user's physical information and generates an optimal exercise plan based on that information. The user inputs data such as height, weight, age, and health status through a dedicated input interface. This information is transmitted to a server via a terminal, and the computing unit analyzes it using a generated AI model to generate an exercise plan that is suitable for the individual.

[0628] The server constructs a virtual reality environment on the terminal based on the generated exercise plan. This terminal uses a dedicated device (e.g., a GPU) for rendering 3D graphics, enabling the user to experience immersion through visual means. The user wears a VR device and can receive safe and effective exercise instruction within the virtual reality space.

[0629] During exercise, the user's movements are monitored in real time by the device's measuring equipment. For example, motion sensors and cameras are used to accurately detect movements. The server analyzes this data and provides immediate feedback if it detects a deviation from the planned movements. This feedback is presented to the user through audio and visual means.

[0630] After an exercise session ends, the device stores all exercise-related information in a data management system, making it available on the server for reuse to assist with future planning. This allows users to continuously receive more optimized exercise plans based on their exercise history.

[0631] As a concrete example, a possible input prompt for the generating AI model might be, "Design an optimal exercise plan in a virtual reality environment based on the user's height, weight, age, and health information." This allows the system to provide technical support to help each user achieve their individual goals and enables a sustainable program for maintaining health.

[0632] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0633] Step 1:

[0634] Users access the interface device through their terminal and input information such as height, weight, age, and health status. This information is formatted as digital data and sent to the server. An interactive UI is presented to the user to ensure accurate input.

[0635] Step 2:

[0636] The server processes the received physical information data and inputs it as a prompt to the generating AI model. Following the prompt, "Design an optimal exercise plan in a virtual reality environment based on the user's height, weight, age, and health information," the AI ​​model generates an optimal exercise plan. As output, an exercise plan tailored to each individual user is created.

[0637] Step 3:

[0638] The server sends the generated exercise plan to the terminal. The terminal constructs a virtual reality space based on the received exercise plan data. A dedicated GPU processes the graphics, and when the user wears a VR device, an immersive environment is created. In this environment, the planned exercises are visually displayed, and instruction is provided in real time.

[0639] Step 4:

[0640] The user begins exercising in a virtual reality environment. The device monitors the user's movements using motion sensors and cameras. During this time, real-time analysis is performed to maintain correct form, and immediate feedback is provided as needed. Sensor input of movement is processed and output as audio and visual feedback.

[0641] Step 5:

[0642] Once an exercise session ends, the device organizes the user's exercise data and resends it to the server. The server stores this data in a database and processes it to help generate the next exercise plan. During this process, users are provided with features such as graphs of their exercise performance and the ability to view their history. The AI ​​model then uses this data to create a more effective plan for the next session.

[0643] (Application Example 1)

[0644] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0645] There is a need for a system that allows individuals to easily implement personalized exercise plans and their effective implementation in a home environment, taking their individual health conditions into consideration. However, current technology makes it difficult to create an environment where users can safely and comfortably continue exercising while providing personalized exercise guidance and real-time feedback on effectiveness. To address this problem, there is a need to provide a more efficient and immersive fitness experience.

[0646] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0647] In this invention, the server includes an information input means for recording health status, an information processing means for generating an exercise plan based on the input information, an information presentation means for providing exercise guidance using a video display means that provides a three-dimensional virtual environment, an information detection means for instantly analyzing the subject's movements and presenting the results, an information storage means for accumulating information related to exercise and optimizing the next exercise plan, and a remote guidance means for providing exercise guidance using a home-use automated machine. This makes it possible to create and implement an exercise plan optimized for each individual, and to provide real-time feedback.

[0648] "Information input means for recording health status" refers to a device or function for inputting and recording information about a user's height, weight, age, and health.

[0649] "Information processing means for generating an exercise plan based on input information" refers to a processor or software that analyzes health information provided by the user and creates an exercise plan tailored to each individual.

[0650] "Information presentation means for providing exercise guidance using video display means that provide a three-dimensional virtual environment" refers to a display device or application that displays a virtual reality space and guides the user so that they can exercise within it.

[0651] "Information detection means that instantly analyzes the subject's movements and presents the results" refers to a device that uses sensors and cameras to detect the user's movements in real time, analyzes that data, and provides feedback to the user.

[0652] "Information storage means for accumulating exercise-related information and optimizing the next exercise plan" refers to databases or storage devices that store exercise history data and use it to inform the next exercise program.

[0653] "Remote instruction methods for providing exercise guidance using home-use automated machines" refers to systems that provide remote exercise guidance and adjustments through robots or devices usable in the home.

[0654] This invention relates to a system for providing exercise support based on a user's health status. The system mainly consists of a server, a terminal, and a user. The server receives health information provided by the user and generates an individualized exercise plan based on it. This process utilizes cloud computing services that leverage AI technology. Specific examples include Google Cloud AI and Amazon SageMaker.

[0655] The terminal plays a crucial role in facilitating data communication between the user and the server. Health information is entered through user input, and this data is transmitted to the server. The terminal is required to connect to VR devices or home robots and display a virtual reality environment. In the displayed VR environment, the user receives exercise guidance and actually performs the exercises.

[0656] During exercise, the device uses cameras and motion sensors to detect the user's movements in real time. For example, IoT technologies such as Raspberry Pi and Arduino are used to instantly analyze the user's movements. The detected movement data is sent to a server, and feedback is provided based on the analysis results. This feedback is presented both audibly and visually.

[0657] Once an exercise session is complete, the device records exercise history data and sends it to a server. The server analyzes this data to further optimize the next exercise plan. This allows users to consistently engage in effective exercise.

[0658] For example, a server could provide voice feedback to a user doing push-ups, saying, "Keep your shoulders down and maintain correct form." An example of a prompt that could be used is, "Generate an effective home fitness plan based on the user's age, height, weight, and health information." In this way, users can receive a personalized exercise experience.

[0659] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0660] Step 1:

[0661] The user uses a device to enter personal data such as height, weight, age, and health information. The entered data is temporarily stored on the device. Next, this data is prepared to be sent to the server. The input in this step is the health information entered by the user, and the output is data formatted in a format to be sent to the server.

[0662] Step 2:

[0663] The server analyzes personal data received from the terminal and generates an optimal exercise plan for the user. Here, a generative AI model is used to output a personalized fitness plan based on specific prompt messages. The input is the user's health information sent from the terminal, and the output is an exercise plan tailored to the user. Cloud AI services are used for data analysis.

[0664] Step 3:

[0665] The terminal displays a three-dimensional virtual environment based on the exercise plan received from the server. The VR device provides the user with a more immersive exercise environment. The terminal presents the exercise plan with video and audio, and provides guidance to the user. The input is the exercise plan from the server, and the output is immersive exercise guidance through the VR device.

[0666] Step 4:

[0667] While the user is exercising, the device's built-in camera and sensors detect their movements in real time. The acquired movement data is sent to the cloud, where a server analyzes the user's form and movements. The input is the movement data obtained from the sensors, and the output is feedback based on the analysis results. For example, the system may determine whether the user is exercising with the correct posture.

[0668] Step 5:

[0669] The server receives the analysis results and provides feedback to the user during exercise. The feedback is provided both verbally and visually, for example, by saying, "Keep your shoulders down and maintain the correct form." The input is the analysis results in the cloud, and the output is the feedback to the user.

[0670] Step 6:

[0671] After the exercise is completed, the device stores all the data from the exercise and sends it to the server. The server then uses the stored exercise data to optimize the next exercise plan. The input is the historical data collected during the exercise, and the output is the data used for the next exercise plan. Through this process, exercise plans tailored to the user's needs are continuously proposed.

[0672] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0673] The system in this invention aims to provide an individually optimized exercise experience based on health and emotional states. First, the user inputs their health data using an input device on the terminal. Then, an emotion engine analyzes the user's emotional state in real time through facial expressions, voice, posture, etc. This data is a crucial element for providing exercise guidance tailored to the user's emotions.

[0674] The server first processes health data sent by the user and analyzes emotional data obtained by the emotion engine. Combining this information, it generates an optimal exercise plan for the user. Furthermore, it uses a virtual reality environment via a display device to provide appropriate guidance to the user, offering emotionally responsive feedback.

[0675] When exercising in a virtual reality environment, the device's detection system analyzes the user's movements in real time and provides feedback such as form corrections and encouragement as needed. This allows the user to exercise more effectively.

[0676] For example, if a user feels tired or stressed during exercise, the emotion engine detects this, and the server adjusts the exercise plan to suggest stretches and relaxation exercises. Furthermore, the visuals and music of the virtual reality environment are also adjusted to match the user's emotional state, providing a more comfortable exercise experience.

[0677] Once the exercise is complete, the device records exercise and emotional data in a data storage device, and the server uses this data to further optimize the next exercise plan. This process ensures that users always receive feedback and exercise plans tailored to their emotional state, providing support for achieving health goals while maintaining motivation.

[0678] The following describes the processing flow.

[0679] Step 1:

[0680] Users input their health data using the input device equipped on the terminal. This data includes the user's physical characteristics and health goals.

[0681] Step 2:

[0682] The device sends the entered health data to the server. The server analyzes the received data and prepares to generate an optimal exercise plan for the user.

[0683] Step 3:

[0684] The emotion engine built into the device analyzes the user's emotions in real time from their facial expressions, voice, and posture. In particular, it detects tension levels and stress levels during exercise.

[0685] Step 4:

[0686] The server comprehensively analyzes health and emotional data to generate an exercise plan that is optimally tailored to the user's condition on that day. Depending on the emotional state, the difficulty and type of exercise may also be changed.

[0687] Step 5:

[0688] The server sends the generated exercise plan and emotionally-driven instruction to the terminal. Based on this, the terminal begins providing exercise instruction to the user in a virtual reality environment.

[0689] Step 6:

[0690] The user performs exercises in a virtual reality environment through the device's display. During exercise, an emotion engine continuously monitors emotions, and the device provides visual and audio feedback based on the results.

[0691] Step 7:

[0692] The detection device analyzes the user's movements in real time and sends the data to a server. The server uses this data to generate real-time feedback on correcting movement form and suggesting the next action.

[0693] Step 8:

[0694] Once the exercise is complete, the device records all exercise and emotional data to a data storage device. The server uses this data to further optimize the next exercise plan and prepares to support the user's ongoing health management.

[0695] (Example 2)

[0696] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0697] In modern society, there is a need to efficiently provide personalized exercise plans tailored to each individual's health and emotional state. However, conventional systems have struggled to provide an exercise experience that fully takes into account the user's real-time emotions and exercise status, resulting in the challenge of users having difficulty maintaining their motivation to exercise.

[0698] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0699] In this invention, the server includes an input device means for analyzing health and emotional states, a processing device means for generating an optimized exercise plan based on the analyzed data, and a display device means for providing a virtual reality environment and providing feedback according to the emotional state. This makes it possible to provide a personalized exercise plan and feedback based on the user's health and emotional state.

[0700] "Health status" refers to data that indicates the user's physical condition, including information such as height, weight, age, heart rate, and past exercise history.

[0701] "Emotional state" refers to data that indicates the user's mental state, and is information obtained by analyzing facial expressions, tone of voice, posture, etc.

[0702] An "input device" is a device used to input data about a user's health and emotional state, and includes keyboards, touchscreens, cameras, and microphones.

[0703] A "processing device" is a computer system that processes data based on inputted health and emotional states to generate an optimal exercise plan.

[0704] A "display device" is a device that provides the user with a visual representation of the generated motion plan and feedback, and includes displays and virtual reality headsets.

[0705] A "virtual reality environment" is a computer-generated simulation environment that users can experience in an immersive way.

[0706] A "detection device" is a device that includes sensors and cameras to analyze the user's movements in real time and assist in correcting form and movements during exercise.

[0707] "Feedback" refers to the guidance and corrective advice provided to the user during exercise, presented in audio or visual form.

[0708] A "data storage device" is a recording medium that stores the user's exercise data and emotional data, and uses this data to optimize the next exercise plan.

[0709] A "generative AI model" is an algorithm that uses artificial intelligence to automatically generate a movement plan from input data and adjust it as needed.

[0710] A "prompt statement" is a text-based input statement used to give instructions to a generative AI model, and it includes commands to control the model's behavior.

[0711] In this invention, the user first uses an input device installed in the terminal to input data about their health status. This data includes information such as height, weight, age, heart rate, and past exercise history. The terminal processes this information and sends it to the server.

[0712] Next, the user's facial expressions, voice, and posture are analyzed in real time through the device's emotion engine, and their emotional state is determined. The emotion engine uses specific software such as TensorFlow and OpenCV to analyze the user's emotional data. This allows the system to understand the user's emotional state and use this information to optimize the movement plan.

[0713] The server receives health and emotional state data sent from the terminal and uses a generative AI model to generate an exercise plan optimized for the user. The generative AI model uses the prompt "Suggest an exercise menu based on the user's health and emotional state" to create a more personalized exercise program.

[0714] The server then uses a virtual reality environment to provide the user with the generated exercise plan. This environment utilizes a virtual reality headset as a display device, and the scene and music are adjusted according to the user's emotions. For example, if the user is feeling stressed, an exercise scene in a quiet forest is selected, and relaxation is promoted to facilitate the exercise.

[0715] During exercise, the device's detection system analyzes the user's movements in real time and provides feedback such as form corrections and encouragement as needed. For example, voice feedback such as "Lift your left leg a little higher" is given to help improve the user's exercise performance.

[0716] Once the exercise is complete, the device records exercise data and emotional data in a data storage device. The server then uses this data to further optimize the next exercise plan, ensuring that the user always receives the best possible exercise experience.

[0717] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0718] Step 1:

[0719] Users input their health data using the terminal's input device. This input device uses a keyboard or touchscreen to collect information such as height, weight, age, heart rate, and past exercise history. This data is stored in the terminal and prepared to be sent to the server. The entered health data is used as basic data to generate an exercise plan.

[0720] Step 2:

[0721] The device uses its built-in camera and microphone to capture the user's facial expressions, voice, and posture. The emotion engine analyzes this captured data to determine the user's emotional state in real time. Specifically, it determines states such as "relaxed" or "stressed" based on the user's smile, voice tone, etc. The analyzed emotional data is sent to a server and used as a factor influencing the exercise plan.

[0722] Step 3:

[0723] The device sends the collected health and emotional data to the server. The server receives this data and stores it in a database. At this time, it verifies the reliability of the communication and logs that the data transfer was performed correctly. The input health and emotional data is then ready to be analyzed by a generative AI model.

[0724] Step 4:

[0725] The server uses an AI model based on the received data to generate an exercise plan optimized for the user. This process uses the prompt "Suggest an exercise menu based on the user's health condition and emotions." The generated exercise plan is tailored to the user's individual health condition and emotions, aiming to maximize the user's exercise efficiency.

[0726] Step 5:

[0727] The server sets up a virtual reality environment to provide the user with the generated exercise plan. A virtual reality headset is used as the display device, and the generated exercise plan is visually presented to the user. The visuals and music of the environment are also adjusted according to the user's emotional state to enhance immersion.

[0728] Step 6:

[0729] The device's detection system analyzes the user's movements in real time. As the user exercises in the virtual reality environment, it checks their form and provides corrective instructions via voice feedback if necessary. For example, it might say, "Raise your right arm higher." This analysis result is then sent back to the server and used as data to help improve the user's exercise performance.

[0730] Step 7:

[0731] Once an exercise session ends, the device saves all exercise and emotional data to a data storage device. This data is used to optimize the next exercise plan. The server analyzes the stored data and prepares to adjust the exercise plan to provide the user with an even more suitable exercise experience in subsequent sessions.

[0732] (Application Example 2)

[0733] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0734] In modern society, maintaining personal health and emotional stability are highly valued, but providing appropriate exercise plans tailored to each user's unique health condition and emotional changes is a challenging problem. Especially when exercising at home, detailed exercise guidance and feedback adapted to the environment are required. To address this challenge, it is necessary to develop a new system that provides an optimal exercise experience tailored to individual needs.

[0735] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0736] In this invention, the server includes an input device means for recording health status, an analysis device means for analyzing emotional state and performing exercise adjustments according to emotion, and a display device that provides a virtual reality environment, and means for providing exercise guidance. This enables real-time exercise adjustment and feedback based on an individual's health status and emotional state.

[0737] A "health status recording input device" is a device that collects and records data related to the user's physical health.

[0738] A "processing device for generating exercise plans" is a device that designs the optimal exercise schedule and content for the user based on the input data.

[0739] A "display device that provides a virtual reality environment" is a device that provides users with visual exercise guidance through virtual reality.

[0740] A "detection device that analyzes user movements in real time and provides feedback" is a device that instantly analyzes the user's movements during exercise and provides timely feedback on areas for improvement and words of encouragement.

[0741] A "data storage device that accumulates exercise data and optimizes the next exercise plan" is a device that saves the results of an exercise performed once and uses that data to improve subsequent exercise plans.

[0742] An "analysis device that analyzes emotional states and adjusts movements accordingly" is a device that determines the user's emotions from their facial expressions and voice, and adjusts the movement based on that information.

[0743] A "display device that provides relaxation exercises and adjusted visual and auditory effects based on emotions during exercise" is a device that provides images and music tailored to the user's psychological state and suggests relaxing exercises as needed.

[0744] The system that realizes this invention provides an individually optimized exercise experience based on the user's health and emotional state. It primarily employs the following hardware and software configuration.

[0745] The device first collects health-related data from the user through an input device that records health status. This data forms the basis for the processing described below.

[0746] The server is equipped with an emotion analysis device to analyze and integrate this data with the user's emotional state. This device analyzes the user's emotions in real time from their facial expressions, voice, posture, etc., and generates an optimal exercise plan based on that information. In this process, a generative AI model is used for emotion analysis, and prompt messages are used to effectively analyze the data. For example, a prompt message in the format of "Analyze the user's current emotional state and suggest an appropriate exercise plan. If the user is tired, recommend relaxation exercises and play relaxing music" is used.

[0747] After an exercise plan is generated, a virtual reality environment is provided via a display device, within which the user begins exercising. The user's movements are analyzed in real time by a detection device, and immediate feedback is provided to correct form and boost motivation as needed. Furthermore, visual and auditory effects are modified based on the user's emotional state to create a comfortable and fulfilling exercise experience.

[0748] At the end of each workout, all exercise and emotional data is stored in a data storage device and used to optimize the next workout plan. This repeated process supports users in maintaining a healthy lifestyle.

[0749] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0750] Step 1:

[0751] The terminal collects health data from the user via an input device that records health status. Specifically, the user enters health data such as weight, height, and heart rate into an input form. The entered data is used for analysis in the next step. The input is the user's health information, and the output is the recorded health data.

[0752] Step 2:

[0753] The device uses a camera and microphone to capture the user's facial expressions and voice in real time, generating up-to-date emotion analysis data. The generative AI model used here is input in the form of a prompt message: "Analyze the user's emotional state and generate a corresponding motor plan." This analysis yields the user's emotional data. The input is the user's facial expressions and voice information, and the output is the analyzed emotional state.

[0754] Step 3:

[0755] The server integrates collected health data and analyzed emotional data, and a processing unit generates an optimal exercise plan. For example, if the emotion is determined to be "fatigue," relaxation elements will be incorporated into the exercise plan. A generative AI model is used for processing, which transforms the health data and emotional data through prompt messages. The output is an exercise plan optimized for the user.

[0756] Step 4:

[0757] The server presents this result to the user as a virtual reality environment via a display device, and the user begins exercising. Specifically, it utilizes 3D graphics and sound effects to create an environment in which the user can visually and aurally experience the exercise. The displayed content is optimized for the user's state. The output is the virtual reality environment presented to the user.

[0758] Step 5:

[0759] The device analyzes the user's movements during exercise in real time using a detection device and provides immediate feedback. For example, if there is an error in the movement, areas for improvement will be displayed on the screen, and instructions such as "Bend your knees a little more" will be given via voice. The input is the user's movement data, and the output is the feedback information provided.

[0760] Step 6:

[0761] Once the exercise is complete, the device records all exercise and emotional data to a data storage device. This recorded information is used to improve the accuracy of future exercise plans. The input is the data collected during the exercise, and the output is the stored data used to optimize the next plan.

[0762] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0763] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0764] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0765] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0766] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0767] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0768] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0769] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0770] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0771] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0772] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0773] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0774] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0775] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0776] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0777] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0778] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0779] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0780] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0781] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0782] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0783] The following is further disclosed regarding the embodiments described above.

[0784] (Claim 1)

[0785] An input device means for recording health status,

[0786] A processing device that generates a motion plan based on input data,

[0787] A means of providing exercise instruction using a display device that provides a virtual reality environment,

[0788] A detection device means that analyzes user actions in real time and provides feedback,

[0789] A data storage device means for accumulating exercise data and optimizing the next exercise plan,

[0790] A system that includes this.

[0791] (Claim 2)

[0792] The system according to claim 1, wherein feedback is presented audibly and visually.

[0793] (Claim 3)

[0794] The processing device according to claim 1, which proposes a meal plan based on the patient's health condition.

[0795] "Example 1"

[0796] (Claim 1)

[0797] An interface device means for acquiring physical information,

[0798] A computing device means that generates a motion plan using acquired information,

[0799] A video device that constructs a virtual reality space and provides exercise instruction,

[0800] A measuring device means that monitors the user's movement in real time and provides feedback,

[0801] A data management device means for storing information related to exercise and improving the next exercise plan,

[0802] A device that automatically adjusts an individualized movement plan using a generative AI model,

[0803] A system that includes this.

[0804] (Claim 2)

[0805] The system according to claim 1, wherein feedback is provided audibly and visually.

[0806] (Claim 3)

[0807] A calculation device that presents a nutrition plan based on physical information, according to claim 1.

[0808] "Application Example 1"

[0809] (Claim 1)

[0810] A means of inputting information to record health status,

[0811] Information processing means for generating a motion plan based on input information,

[0812] An information presentation means for providing exercise instruction using a video display means that provides a three-dimensional virtual environment,

[0813] An information detection means that instantly analyzes the subject's movements and presents the results,

[0814] A means of storing information related to exercise and optimizing the next exercise plan,

[0815] A remote instruction method for providing exercise instruction using a home-use automated machine,

[0816] A system that includes this.

[0817] (Claim 2)

[0818] The system according to claim 1, wherein the results are presented by voice communication and visual communication.

[0819] (Claim 3)

[0820] The information processing means for proposing a nutrition plan based on a person's health status, according to claim 1.

[0821] "Example 2 of combining an emotion engine"

[0822] (Claim 1)

[0823] An input device means for analyzing health status and emotional state,

[0824] A processing device that generates an optimized motion plan based on the analyzed data,

[0825] A display device that provides a virtual reality environment and gives feedback according to the emotional state,

[0826] A detection device means that analyzes the user's movements in real time and provides corrective and encouraging feedback,

[0827] A data storage device means that stores exercise data and emotional data and optimizes the next exercise plan,

[0828] A processing device that dynamically adjusts the motion plan using a generative AI model,

[0829] A system that includes this.

[0830] (Claim 2)

[0831] The system according to claim 1, wherein feedback is provided audibly and visually and adjusted based on emotional state.

[0832] (Claim 3)

[0833] A processing device that proposes a meal plan and an exercise plan in an integrated manner based on health status and emotional state, according to claim 1.

[0834] "Application example 2 when combining with an emotional engine"

[0835] (Claim 1)

[0836] An input device means for recording health status,

[0837] A processing device that generates a motion plan based on input data,

[0838] A means of providing exercise instruction using a display device that provides a virtual reality environment,

[0839] A detection device means that analyzes user actions in real time and provides feedback,

[0840] A data storage device means for accumulating exercise data and optimizing the next exercise plan,

[0841] An analytical device means that analyzes emotional states and performs motor adjustments according to those emotions,

[0842] A display device that provides relaxation exercises and adjusted visual and auditory effects based on emotions during exercise,

[0843] A system that includes this.

[0844] (Claim 2)

[0845] The system according to claim 1, wherein feedback is presented audibly and visually.

[0846] (Claim 3)

[0847] The processing device according to claim 1, which proposes a meal plan based on the patient's health condition. [Explanation of Symbols]

[0848] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of inputting information to record health status, Information processing means for generating a motion plan based on input information, An information presentation means for providing exercise instruction using a video display means that provides a three-dimensional virtual environment, An information detection means that instantly analyzes the subject's movements and presents the results, A means of storing information related to exercise and optimizing the next exercise plan, A remote instruction method for providing exercise instruction using a home-use automated machine, A system that includes this.

2. The system according to claim 1, wherein the results are presented by voice communication and visual communication.

3. The system according to claim 1, further comprising means for proposing a nutritional plan based on health status.

Images